Generated by Rank Math SEO, this is an llms.txt file designed to help LLMs better understand and index this website. # DataIQ ## Sitemaps - [XML Sitemap](https://www.dataiq.global/sitemap_index.xml): Includes all crawlable and indexable pages. ## Pages - [2027 Data and AI Literacy London](https://www.dataiq.global/2027-data-and-ai-literacy-london/): Join senior data, AI and governance leaders to explore how organisations are adapting governance for the next generation of AI, from agentic systems and ethical decision-making to regulatory readiness and governance automation. - [DataIQ 100 Q&A](https://www.dataiq.global/dataiq-100-qa/): This Q&A is your opportunity to tell us about your leadership journey, the initiatives you’ve driven and the impact you’ve delivered over the past 12 months. - [2026 DataIQ Awards Gallery](https://www.dataiq.global/2026-dataiq-awards-gallery/): Headline Partner - [Privacy Statement (ZA)](https://www.dataiq.global/privacy-statement-za/): This privacy statement was last updated on 29 Sep 2026 and applies to citizens and legal permanent residents of South Africa. - [Cookie Policy (ZA)](https://www.dataiq.global/cookie-policy-za/): This Cookie Policy was last updated on 29 Sep 2026 and applies to citizens and legal permanent residents of South Africa. - [2027 DataIQ 100 Discussion Agenda](https://www.dataiq.global/2027-dataiq-100-discussion-agenda/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2027 DataIQ 100 Discussion FAQ](https://www.dataiq.global/2027-dataiq-100-discussion-faq/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2027 DataIQ 100 Discussion Attend](https://www.dataiq.global/2027-dataiq-100-discussion-attend/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2027 DataIQ 100 Discussion](https://www.dataiq.global/2027-dataiq-100-discussion/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2027 DataIQ Awards Home](https://www.dataiq.global/2027-dataiq-awards-home/): Headline Partner - [2026 DataIQ Awards Winners](https://www.dataiq.global/2026-dataiq-awards-winners/): Headline Partner - [Benchmarks](https://www.dataiq.global/benchmarks/): Benchmarks: DataIQ provides a range structured capability assessments that help data and AI leaders benchmark current abilities, identify gaps and align priorities. - [Shared Insights](https://www.dataiq.global/shared-insights/): Shared Insights and Intelligence: Useful articles and resources generated from data and AI practitioner intelligence. Contributions are anonymised and shared through discussion summaries, practical guides and case studies. - [Peer Collaboration](https://www.dataiq.global/peer-collaboration/): Peer Collaboration: A year long programme of small, practitioner-led discussions and case study presentations, to compare challenges, approaches and experiences and build relationships with peers. - [Tailored Support](https://www.dataiq.global/tailored-support/): Tailored Support: Based on your identified challenges and priorities, we will help you identify the most appropriate value plan enabling you to access relevant peers and experts, accelerate decisions, validate plans and strengthen capability. - [What you get](https://www.dataiq.global/what-you-get/): Strategic support tailored to your goals. A DataIQ subscription brings together four core elements designed to help you solve challenges, benchmark performance, accelerate capability and drive business value. - [How it works](https://www.dataiq.global/how-service-works/): Discover how DataIQ connects Data and AI professionals to solve challenges effectively through a diverse peer community. - [Challenge – Leading change that delivers](https://www.dataiq.global/challenge-leading-change/): DataIQ helps data and AI leaders develop the skills, confidence and perspective to lead effectively by drawing on practical experience, expert guidance and the shared learning of peers. - [Challenge – Proving the value of data and AI](https://www.dataiq.global/challenge-proving-value-data-ai/): A challenge for Data and AI leaders is to understand and demonstrate the impact on decisions, performance and outcomes. DataIQ helps leaders connect data and AI investment to organisational priorities, define what value looks like and demonstrate meaningful progress. - [Challenge – Making data and AI part of how people work](https://www.dataiq.global/challenge-data-ai-adoption/): DataIQ helps leaders build the capability and culture needed to turn data and AI from specialist disciplines into an organisation-wide way of working. - [Challenge – Building the data organisation for what comes next](https://www.dataiq.global/challenge-data-organsation/): DataIQ helps Data & AI leaders understand how organisations are evolving their data and AI functions, operating models and capabilities to become more effective, responsive and aligned to business priorities. - [Challenge – Building Trust](https://www.dataiq.global/challenge-building-trust/): DataIQ helps leaders understand how others are making both data governance and AI governance practical and effective by balancing control and accountability with the acceleration of innovation and adoption. - [Challenge – AI Impact](https://www.dataiq.global/challenge-ai-impact/): DataIQ helps leaders understand what it takes to move from experimentation to sustainable AI adoption, drawing on the experience of peers, practical insight and proven approaches to building capability and creating impact. - [2026 Data & AI Governance Brussels Speaker Enquiry](https://www.dataiq.global/2026-data-ai-governance-brussels-speaker-enquiry/): Join senior data, AI and governance leaders to explore how organisations are adapting governance for the next generation of AI, from agentic systems and ethical decision-making to regulatory readiness and governance automation. - [test page image](https://www.dataiq.global/test-page-image/): Affiliate - [DataIQ 100 Summit North America 2027 FAQ](https://www.dataiq.global/dataiq-100-summit-north-america-2027-faq/): Headline Partner - [DataIQ 100 Summit North America 2027 Register](https://www.dataiq.global/dataiq-100-summit-north-america-2027-register/): Headline Partner - [DataIQ 100 Summit North America 2027 Partner With Us](https://www.dataiq.global/dataiq-100-summit-north-america-2027-partner-with-us/): Headline Partner - [DataIQ 100 Summit North America 2027 Agenda](https://www.dataiq.global/dataiq-100-summit-north-america-2027-agenda/): Headline Partner - [DataIQ 100 Summit North America 2027](https://www.dataiq.global/dataiq-100-summit-north-america-2027/): Headline Partner - [2026 DataIQ Partner Event](https://www.dataiq.global/2026-dataiq-partner-event/): Join senior data, AI and governance leaders to explore how organisations are adapting governance for the next generation of AI, from agentic systems and ethical decision-making to regulatory readiness and governance automation. - [2026 Data & AI Governance Brussels](https://www.dataiq.global/2026-data-ai-governance-brussels/): Join senior data, AI and governance leaders to explore how organisations are adapting governance for the next generation of AI, from agentic systems and ethical decision-making to regulatory readiness and governance automation. - [2026 Data & AI Governance London](https://www.dataiq.global/2026-data-ai-governance-london/): Join senior data, AI and governance leaders to explore how organisations are adapting governance for the next generation of AI, from agentic systems and ethical decision-making to regulatory readiness and governance automation. - [molly test](https://www.dataiq.global/molly-test/) - [2026 Boston October Peer Exchange](https://www.dataiq.global/2026-boston-october-peer-exchange/): If Everyone Has AI, Where is the Advantage?​ - [DataIQ Congress Agenda](https://www.dataiq.global/dataiq-congress-agenda/): Headline Partner - [2026 DataIQ Awards – Shortlist Badges](https://www.dataiq.global/2026-dataiq-awards-shortlist-badges/): Congratulations on being shortlisted for an award at the 2026 DataIQ Awards! Your work truly impressed the judges, showcasing your outstanding contributions to data and AI. - [DataIQ Congress Speakers](https://www.dataiq.global/dataiq-congress-speakers/): Headline Partner - [2026 DataIQ Awards Shortlist](https://www.dataiq.global/2026-dataiq-awards-shortlist/): Headline Partner - [DataIQ Congress Attendees](https://www.dataiq.global/dataiq-congress-attendees/): Headline Partner - [DataIQ Congress Partners](https://www.dataiq.global/dataiq-congress-partners/): Headline Partner - [2026 DataIQ 100 North America Impact](https://www.dataiq.global/2026-dataiq-100-north-america-impact/): Learn more 2027 Nominations Learn more 2027 Nominations - [2025 DataIQ Awards Gallery](https://www.dataiq.global/2025-dataiq-awards-gallery/): Headline Partner - [2026 DataIQ 100 North America Influencers](https://www.dataiq.global/2026-dataiq-100-north-america-influencers/): Headline Partner - [2026 DataIQ 100 North America Enablers](https://www.dataiq.global/2026-dataiq-100-north-america-enablers/): Headline Partner - [2026 DataIQ 100 North America Brands](https://www.dataiq.global/2026-dataiq-100-north-america-brands/): Headline Partner - [2026 Boston Peer Exchange](https://www.dataiq.global/2026-boston-peer-exchange/): Join 40 senior leaders in Boston for a confidential discussion on how leading organizations are turning AI investment into measurable business outcomes. - [Thank you – DataIQ Awards 2026](https://www.dataiq.global/thank-you-awards-2026/): We’ll share more event details with you soon. 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Please gather this information when inviting your guests. - [Vacancy – Client Success Manager](https://www.dataiq.global/vacancy-client-success-manager/): This is an exciting opportunity to join DataIQ’s Customer Success team as a Client Success Manager to join our team to help us deliver value for our portfolio of enterprise Clients. - [DataIQ Congress Key Themes](https://www.dataiq.global/dataiq-congress-key-themes/): Headline Partner - [DataIQ Congress Attend](https://www.dataiq.global/dataiq-congress-attend/): Headline Partner - [2026 DataIQ Awards Attend](https://www.dataiq.global/2026-dataiq-awards-book-a-table/): Headline Partner - [Copy of 2026 DataIQ 100 Discussion Agenda](https://www.dataiq.global/2026-dataiq-100-discussion-gallery/): Attend the 2024 DataIQ Discussion with this full agenda designed for data leaders - [2026 DataIQ 100 Europe Impact](https://www.dataiq.global/2026-dataiq-100-europe-impact/): Headline Partner - [DataIQ Congress](https://www.dataiq.global/dataiq-congress/): Headline Partner - [2026 DataIQ 100 Top 10](https://www.dataiq.global/2026-dataiq-100-europe-top-10/): Headline Partner - [2026 DataIQ 100 Summit North America Blend Experience](https://www.dataiq.global/2026-dataiq-100-summit-north-america-blend-experience/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2026 DataIQ 100 Europe](https://www.dataiq.global/2026-dataiq-100-europe-live-reveal/): Headline Partner - [2026 DataIQ 100 Europe Brands](https://www.dataiq.global/2026-dataiq-100-europe-brands/): Headline Partner - [2026 DataIQ 100 Europe Enablers](https://www.dataiq.global/2026-dataiq-100-europe-enablers/): Headline Partner - [Accessibility Statement](https://www.dataiq.global/accessibility/): Accessibility Statement for DataIQ - [2026 DataIQ 100 Summit North America Agenda](https://www.dataiq.global/2026-dataiq-100-summit-north-america-agenda/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2026 DataIQ 100 Summit North America Venue](https://www.dataiq.global/2026-dataiq-100-summit-north-america-venue/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2026 DataIQ 100 Summit North America FAQs](https://www.dataiq.global/2026-dataiq-100-summit-north-america-faq/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2026 DataIQ 100 Summit North America Partner With Us](https://www.dataiq.global/2026-dataiq-100-summit-north-america-partner-with-us/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2026 DataIQ 100 Summit North America Partners](https://www.dataiq.global/2026-dataiq-100-summit-north-america-partners/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2026 DataIQ 100 Summit North America Speakers](https://www.dataiq.global/2026-dataiq-100-summit-north-america-speakers/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2026 DataIQ 100 Summit North America Attendees](https://www.dataiq.global/2026-dataiq-100-summit-north-america-attendees/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2026 DataIQ 100 Summit North America](https://www.dataiq.global/2026-dataiq-100-summit-north-america/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2026 DataIQ Awards FAQ](https://www.dataiq.global/2026-dataiq-awards-faq/): Headline Partner - [2026 DataIQ Awards Partner](https://www.dataiq.global/2026-dataiq-awards-partner/): Headline Partner - [2026 DataIQ Awards Judges](https://www.dataiq.global/2026-dataiq-awards-judges/): Headline Partner - [2026 DataIQ Awards Categories](https://www.dataiq.global/2026-dataiq-awards-categories/): The Awards are open to everyone, from in-house brands to solution providers. Anyone in the data and AI industry is encouraged to enter, including both small and large organisations. - [Test Calendar view](https://www.dataiq.global/test-calendar-view/): December - [2026 DataIQ Awards Home](https://www.dataiq.global/2026-dataiq-awards-home/): Headline Partner - [2025 DataIQ 30 Africa Gallery](https://www.dataiq.global/2025-dataiq-30-africa-gallery/): Headline Partner - [2025 DataIQ 30 Africa Enablers](https://www.dataiq.global/2025-dataiq-30-africa-enablers/): Headline Partner - [2025 DataIQ 30 Africa Top 5](https://www.dataiq.global/2025-dataiq-30-africa-top-5/): Headline Partner - [2025 DataIQ 30 Africa Brands](https://www.dataiq.global/2025-dataiq-30-africa-brands/): Headline Partner - [2026 DataIQ 100 Discussion Speakers](https://www.dataiq.global/2026-dataiq-100-discussion-speakers/): Attend the 2024 DataIQ Discussion with this full agenda designed for data leaders - [B Corporation](https://www.dataiq.global/b-corporation/): We’re proud to announce we are now officially a Certified B Corporation. This milestone reflects our commitment to building a business that balances profit with purpose. - [Vacancy – Business Development Manager](https://www.dataiq.global/business-development-manager/): We’re looking for a results-driven and commercially-minded Business Development Manager (BDM) to drive new business sales of our Corporate Subscription Services. This is a high-impact, revenue-generating role ideal for a natural hunter who thrives on building relationships, identifying new opportunities, and closing high-value deals. - [DataIQ Peer Exchange – Creating Organizational Impact with Data and AI](https://www.dataiq.global/dataiq-peer-exchange-creating-organizational-impact-with-data-and-ai/) - [DataIQ – Learn More](https://www.dataiq.global/learn-more/): DataIQ membership bring together the leading independent network of data leaders. They share best practice, key challenges, debate the latest ideas and big issues. - [2025 DataIQ Awards North America Badges Finalists](https://www.dataiq.global/2025-dataiq-awards-north-america-badges-finalists/): Congratulations on being a finalist at the 2025 DataIQ Awards North America! - [2025 DataIQ Awards North America Badges HC](https://www.dataiq.global/2025-dataiq-awards-north-america-badges-hc/): Congratulations on being highly commended at the 2025 DataIQ Awards North America! - [2025 DataIQ Awards North America Badges](https://www.dataiq.global/2025-dataiq-awards-north-america-badges/): Congratulations on winning an award at the 2025 DataIQ Awards North America! - [2025 DataIQ 100 North America Influencers](https://www.dataiq.global/2025-dataiq-100-north-america-influencers/): Headline Partner - [2025 DataIQ 100 North America Enablers](https://www.dataiq.global/2025-dataiq-100-north-america-enablers/): Headline Partner - [2025 DataIQ 100 North America Brands](https://www.dataiq.global/2025-dataiq-100-north-america-brands/): Headline Partner - [2025 DataIQ 100 North America Top Ten](https://www.dataiq.global/2025-dataiq-100-north-america-top-ten/): Headline Partner - [2025 DataIQ Awards North America Winners](https://www.dataiq.global/2025-dataiq-awards-north-america-winners/): The DataIQ Awards North America honors both companies and individuals that have demonstrated excellence in the data and AI industry over the past 12 months.  - [2026 DataIQ Awards Enquiries](https://www.dataiq.global/2026-dataiq-awards/): Find out more Enquire about the 2026 DataIQ Awards - [2025 DataIQ AI Awards Agenda](https://www.dataiq.global/2025-dataiq-ai-awards-agenda/): 13 May 2025Nashville, USA - [2025 DataIQ AI Awards Venue](https://www.dataiq.global/2025-dataiq-ai-awards-venue/): 13 May 2025, 7pmNashville, USA - [2025 DataIQ Awards Partner](https://www.dataiq.global/2025-dataiq-awards-partner-with-us/): Want to be at the forefront of data and AI innovation? - [2025 DataIQ 100 Summit Nashville – LinkedIn Login](https://www.dataiq.global/2025-dataiq-100-summit-nashville-linked-login/): The DataIQ 100 Summit Nashville is a two day conference where influential data leaders from the DataIQ 100 will share their insights into how they are addressing the opportunities and threats around AI. - [Thank you – USA D Summit 2025](https://www.dataiq.global/thank-you-usa-25-d/): We will be in touch with more information before the event. - [2025 DataIQ 100 Summit Nashville – Attend VIP](https://www.dataiq.global/2025-dataiq-100-summit-nashville-attend-vip/): The DataIQ 100 Summit Nashville is a two day conference where influential data leaders from the DataIQ 100 will share their insights into how they are addressing the opportunities and threats around AI. - [2025 DataIQ Awards Attend](https://www.dataiq.global/2025-dataiq-awards-attend/): Join us on Wednesday, 5 November at the Hilton Park Lane, London as we reveal the standout entries that have impressed our panel of judges. - [2025 DataIQ Awards Tickets – Brand](https://www.dataiq.global/2025-dataiq-awards-tickets-brand/): 5 November 2025Hilton, Park Lane, London Submit your entry Home Categories Judges Masterclass Hall of Fame FAQ Enter - [2025 DataIQ Awards Tickets – Solution Provider](https://www.dataiq.global/2025-dataiq-awards-tickets-solution-provider/): 5 November 2025Hilton, Park Lane, London Submit your entry Home Categories Judges Masterclass Hall of Fame FAQ Enter - [2025 DataIQ World Congress Tickets – Solution Provider](https://www.dataiq.global/2025-dataiq-world-congress-tickets-solution-provider/): 4-5 November 2025Hilton, Park Lane, London - [2025 DataIQ World Congress Tickets – Brand](https://www.dataiq.global/2025-dataiq-world-congress-tickets-brand/): 4-5 November 2025Hilton, Park Lane, London - [2025 DataIQ 100 Summit Nashville – Experience Miami](https://www.dataiq.global/2025-dataiq-100-summit-nashville-experience-miami/): Collaborate with the world's leading data minds at the DataIQ 100 Summit Nashville. Discover how top organizations are harnessing the power of AI to drive innovation and solve complex challenges. - [Vacancy – Events and Product Operations Executive](https://www.dataiq.global/product-operations-executive/): This is an exciting opportunity to join DataIQ’s Customer Success team as a Client Success Manager to join our team to help us deliver value for our portfolio of enterprise Clients. - [2025 DataIQ World Congress Partner](https://www.dataiq.global/2025-dataiq-world-congress-partner/): 4-5 November 2025Hilton, Park Lane, London - [2025 DataIQ World Congress Venue](https://www.dataiq.global/2025-dataiq-world-congress-venue/): 4-5 November 2025Hilton, Park Lane, London - [2025 DataIQ World Congress Attendees](https://www.dataiq.global/2025-dataiq-world-congress-attendees/): 4-5 November 2025Hilton, Park Lane, London - [2025 DataIQ 100 Europe Enablers](https://www.dataiq.global/2025-dataiq-100-europe-enablers/): Headline Partner - [2025 DataIQ 100 Europe Brands](https://www.dataiq.global/2025-dataiq-100-europe-brands/): Headline Partner - [2025 DataIQ 100 Europe Top Ten](https://www.dataiq.global/2025-dataiq-100-europe-top-ten/): Headline Partner - [2025 DataIQ Discussion FAQ](https://www.dataiq.global/2025-dataiq-discussion-faq/): Attend the 2024 DataIQ Discussion with this full agenda designed for data leaders - [DataIQ Home](https://www.dataiq.global/): Peer collaboration for data and AI leaders with the trusted practitioner intelligence service from DataIQ - [Find Out More](https://www.dataiq.global/find-out-more/): Join our growing global membership community of over 250 senior data and AI leaders - [DataIQ Guild](https://www.dataiq.global/2026-guild/): A think tank for data and AI leaders. Be part of changing the future as we know it. - [Recognition – Awards](https://www.dataiq.global/recognition-dataiq-awards/): Find out more - [Recognition – The DataIQ 100](https://www.dataiq.global/recognition-dataiq-100/): Find out more - [Sign up to the newsletter](https://www.dataiq.global/newsletter/) - [2025 DataIQ 100 Summit Nashville – Speakers](https://www.dataiq.global/2025-dataiq-100-summit-nashville-speakers/): The DataIQ 100 Summit Nashville is a two day conference where influential data leaders from the DataIQ 100 will share their insights into how they are addressing the opportunities and threats around AI. - [Academy for Future Leaders Contact US](https://www.dataiq.global/academy-for-future-leaders-form/): DataIQ is closing the gap between demand and supply for confident, decisive and effective senior data leaders. - [2025 DataIQ 100 Summit Nashville – Partner With Us](https://www.dataiq.global/2025-dataiq-100-summit-nashville-partner-with-us/): Collaborate with the world's leading data minds at the DataIQ 100 Summit Nashville. Discover how top organizations are harnessing the power of AI to drive innovation and solve complex challenges. - [2025 DataIQ 100 Summit Nashville – Speaker Inquiry](https://www.dataiq.global/2025-dataiq-100-summit-nashville-speaker-inquiry/): Collaborate with the world's leading data minds at the DataIQ 100 Summit Nashville. Discover how top organizations are harnessing the power of AI to drive innovation and solve complex challenges. - [2025 DataIQ AI Awards – Tickets – Solution Provider](https://www.dataiq.global/2025-dataiq-ai-awards-tickets-solution-provider/): 13 May 2025Nashville, USA - [2025 DataIQ AI Awards – Tickets – Client](https://www.dataiq.global/2025-dataiq-ai-awards-tickets-client/): 13 May 2025Nashville, USA - [2025 DataIQ 100 Summit Nashville – Tickets – Client](https://www.dataiq.global/2025-dataiq-100-summit-nashville-tickets-client/): The DataIQ 100 Summit Nashville is a two day conference where influential data leaders from the DataIQ 100 will share their insights into how they are addressing the opportunities and threats around AI. - [2025 DataIQ 100 Summit Nashville – Attend 100](https://www.dataiq.global/2025-dataiq-100-summit-nashville-attend-100/): The DataIQ 100 Summit Nashville is a two day conference where influential data leaders from the DataIQ 100 will share their insights into how they are addressing the opportunities and threats around AI. - [2025 DataIQ AI Awards Badges](https://www.dataiq.global/2025-dataiq-ai-awards-badges/): 13 May 2025Nashville, USA - [2025 DataIQ AI Awards Shortlist](https://www.dataiq.global/2025-dataiq-ai-awards-shortlist/): 13 May 2025, 7pmNashville, USA - [2025 DataIQ AI Awards Attend](https://www.dataiq.global/2025-dataiq-ai-awards-attend/): Attend the Ceremony - [2025 DataIQ 100 Summit Nashville – Register](https://www.dataiq.global/2025-dataiq-100-summit-nashville-register/): The DataIQ 100 Summit Nashville is a two day conference where influential data leaders from the DataIQ 100 will share their insights into how they are addressing the opportunities and threats around AI. - [2025 DataIQ World Congress](https://www.dataiq.global/2025-dataiq-world-congress/): 4-5 November 2025Hilton, Park Lane, London - [2025 DataIQ Awards Categories](https://www.dataiq.global/2025-dataiq-awards-categories/): The DataIQ Awards honours both companies and individuals that have demonstrated excellence in the data industry over the past 12 months. As the data and analytics industry's most prestigious awards, over 400 entries were received in 2024. - [2025 DataIQ Awards FAQ](https://www.dataiq.global/2025-dataiq-awards-faq/): The DataIQ Awards honours both companies and individuals that have demonstrated excellence in the data industry over the past 12 months. As the data and AI industry's most prestigious awards, over 400 entries were received in 2024. - [2025 DataIQ 100 Summit Nashville – Venue](https://www.dataiq.global/2025-dataiq-100-summit-nashville-venue/): The DataIQ 100 Summit Nashville is a two day conference where influential data leaders from the DataIQ 100 will share their insights into how they are addressing the opportunities and threats around AI. - [DataIQ AI Awards Hall of Fame](https://www.dataiq.global/dataiq-ai-awards-hall-of-fame/): 13 May 2025Nashville, USA - [Basket](https://www.dataiq.global/basket/): Your basket is currently empty. - [2026 DataIQ 100 Discussion Agenda](https://www.dataiq.global/2026-dataiq-100-discussion-agenda/): Attend the 2024 DataIQ Discussion with this full agenda designed for data leaders - [2026 DataIQ 100 Discussion Partner](https://www.dataiq.global/2026-dataiq-100-discussion-partner/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2025 DataIQ Discussion Payments](https://www.dataiq.global/2025-dataiq-discussion-payments/): 4th March 2025The Science Museum, London - [2026 DataIQ 100 Discussion Attendees](https://www.dataiq.global/2026-dataiq-100-discussion-attendees/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [2026 100 Discussion Registration](https://www.dataiq.global/2026-dataiq-100-discussion-reg/): Find out who has made the 2025 DataIQ 100 USA list, the first and only fully-curated power list of the data industry's most influential figures. - [Future Leaders Alumni](https://www.dataiq.global/future-leaders-alumni/): Future Leaders Alumni - [2025 Future Leaders](https://www.dataiq.global/2025-future-leaders/): DataIQ Future Leaders recognises individuals working in data and analytics who are on an upward career trajectory to become the next cohort of senior data leaders. 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Demand is increasing, ownership is often unclear, and leaders are being asked to maintain momentum without locking the enterprise into decisions that may not hold. - [An Unconventional Truth](https://www.dataiq.global/report/an-unconventional-truth/): To create An Unconventional Truth, DataIQ asked nearly 200 senior data and AI leaders from the 2026 DataIQ 100 across North America and Europe to share one non-traditional piece of advice they would give to an aspiring data or AI leader aiming for the C-suite. Their responses reveal a striking consensus that technical expertise is no longer the primary differentiator for executive success. - [Ambition to Realism: The True State of AI Readiness](https://www.dataiq.global/report/ambition-to-realism-the-true-state-of-ai-readiness/): Following years of investment and experimentation, organizations are discovering that AI readiness has less to do with models and tooling than operational discipline, leadership alignment, and the ability to scale responsibly.  - [The Rise of Decision Intelligence: How Data and AI Leaders are Rewiring the Enterprise](https://www.dataiq.global/report/the-rise-of-decision-intelligence-how-data-and-ai-leaders-are-rewiring-the-enterprise/): For over two decades, organizations have pursued a common ambition to become “data-driven,” focusing on improving access to data, scaling analytics, and building modern platforms. With that ambition now largely within reach, data and AI leaders are facing the next frontier: how to progress from insight access to translating intelligence into consistent, high-quality decisions.  - [The End of AI Theatrics: Accountability, Governance, and Value in 2026](https://www.dataiq.global/report/the-end-of-ai-theatrics-accountability-governance-and-value-in-2026/): It is clear from The End of AI Theatrics: Accountability, Governance, and Value in 2026 that the top role in data and AI is becoming more operational and a prominent voice at the table. Leaders speak of finding themselves closer to the core of organisations, industrialising impact, finding the balance to scale projects appropriately, and cementing trust into how decisions are made. - [Shaping the Next Era: The Evolution of Data Leadership for the AI-First Future](https://www.dataiq.global/report/shaping-the-next-era-the-evolution-of-data-leadership-for-the-ai-first-future/): On Wednesday, 22 October 2025, we proudly unveiled the DataIQ 30 Africa - a defining milestone in the evolution of global data and AI leadership. For the first time, Africa’s most influential data and AI leaders have been recognised in a dedicated programme, revealed at the DataIQ 30 Africa Reveal in Johannesburg. Delivered in partnership with Accenture Africa, this inaugural list showcases the exceptional breadth of talent across the continent. - [Data and AI Leadership: Under Way and Under Pressure](https://www.dataiq.global/report/data-and-ai-leadership-under-way-and-under-pressure/): How do you lead when AI capabilities outpace organisational readiness? For data and AI leaders, that is today’s defining test. While emerging technologies offer an abundance of new opportunities, leaders are under increasing pressure to deliver impact while laying foundations in a continuously shifting landscape.  - [DataIQ World Congress Programme](https://www.dataiq.global/report/dataiq-world-congress-programme/): We're thrilled to provide you with this downloadable programme, your comprehensive guide to navigating the World Congress and maximising your experience. Within these pages, you'll find everything you need to make the most of your time with us, including: - [AI roadmap for 2025](https://www.dataiq.global/report/ai-roadmap-for-2025/): Supported by Blend, this DataIQ report delves into how AI has been scaled, the AI maturity of data-driven versus gut-based organizations, and the evolving state of AI leadership and culture. - [The Inflection Point: Data and AI Moving to the Mainstream](https://www.dataiq.global/report/the-inflection-point-data-and-ai-moving-to-the-mainstream/): Data and AI have reached a turning point, evolving from emerging capabilities to mainstream catalysts of enterprise transformation. In North America, this shift is being led by the most influential data and AI leaders, embedding intelligence at the core of their organizations to deliver results at scale. - [Summit North America Programme](https://www.dataiq.global/report/summit-north-america-programme/): Data and AI are no longer emerging technologies—they are critical driving forces behind the success of every business. But turning potential into impact isn’t straightforward. Success relies on overcoming challenges like limited buy-in, unpredictable funding, compliance barriers, and scaling issues, while simultaneously fostering collaboration and driving engagement. - [How to Craft an Award-Winning Entry](https://www.dataiq.global/report/how-to-craft-an-award-winning-entry/): Now in its 13th year, the DataIQ Awards celebrate exceptional companies, individuals, and programmes that have significantly advanced the impact of data and AI. These prestigious awards honour outstanding contributions to innovation, the cultivation of data-driven cultures, and the advancement of ethical practices in the industry. - [The Big 5: The Defining Priorities for Data and AI Leaders in 2025](https://www.dataiq.global/report/the-big-5-the-defining-priorities-for-data-and-ai-leaders-in-2025/): On Tuesday, 4 March 2025 we unveiled the 2025 DataIQ 100 Europe - a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognised in the 2025 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses. - [Voice of the Chief Data Officer 2024](https://www.dataiq.global/report/voice-of-the-chief-data-officer-2024/): We´re delighted to present to our members Voice of the Chief Data Officer 2024. - [Resilience by design: Building thriving data functions for turbulent times](https://www.dataiq.global/report/resilience-by-design-building-thriving-data-functions-for-turbulent-times/): Our exclusive data and organisational resilience report is your definitive guide to navigating these challenges. Backed by in-depth research into the evolving data landscape, this report uncovers the paradoxes and pitfalls businesses face while offering actionable insights through real-world use cases. - [Confronting the top data function challenges as a leader](https://www.dataiq.global/report/confronting-the-top-data-function-challenges-as-a-leader/): On 21 May 2024 we released the DataIQ 100 USA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognized in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses. - [Mastering the art of data leadership in a complex landscape](https://www.dataiq.global/report/mastering-the-art-of-data-leadership-in-a-complex-landscape/): We have asked those who have made it into the DataIQ 100 to share how they are addressing the key challenges they face as leaders of their data functions. On 5 March 2024 we released the DataIQ 100 EMEA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognised in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses. - [Careers, skills, and recruitment in data: Numbers for leaders and practitioners](https://www.dataiq.global/report/careers-skills-and-recruitment-in-data-numbers-for-leaders-and-practitioners/): What is the average tenure of a data practitioner? Which data roles are most companies looking to hire in the next 12 months? Surprisingly, there are no industry-agreed standards here. Data is a relatively new field. In most organisations, data offices are less than ten years old, and the data talent market comprises inconsistent, varying degrees of expertise and experiences, resulting in a lack of standardised approach to the realities of people, skills and careers. - [Succeed with AI: Building a future-ready organization](https://www.dataiq.global/report/succeed-with-ai-building-a-future-ready-organization/): On 21 May 2024 we released the DataIQ 100 USA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognized in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses. - [AI Adoption: Navigating change management in your organisation](https://www.dataiq.global/report/ai-adoption-navigating-change-management-in-your-organisation/): On 5 March 2024 we released the DataIQ 100 EMEA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognised in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses. - [2025 Data & AI Awards – How To Enter Guide](https://www.dataiq.global/report/2025-data-ai-awards-how-to-enter-guide/): The Data & AI Awards celebrate exceptional companies, individuals, and programs that have significantly advanced the impact of data and AI. These prestigious awards honor outstanding contributions to innovation, the cultivation of data-driven cultures, and the advancement of ethical practices in the industry. - [Priceless or worthless? How data leaders are mastering the art of data valuation](https://www.dataiq.global/report/how-data-leaders-are-mastering-the-art-of-data-valuation/): One of the biggest problems in the data world is that there exists no clear benchmark for the value of data, even as organisations feel a growing need for it. Research undertaken by Anmut detailed that the value of data held by firms in the ten largest sectors of the FTSE 350 is £295 billion, which equates to 20% of aggregate market capitalisation of the companies in those sectors. To build on this research, we approached the DataIQ research panel consisting of global organisations to understand how data value in their organisation is perceived and measured. Is this £295 billion a pipedream, or a vision of the future? - [The Data Literacy Blueprint: Maximizing organizational value and impact](https://www.dataiq.global/report/the-data-literacy-blueprint-maximizing-organizational-value-and-impact/): On 21 May 2024 we released the DataIQ 100 USA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognized in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses. - [How to make an impact with data literacy](https://www.dataiq.global/report/how-to-make-an-impact-with-data-literacy/): On 5 March 2024 we released the DataIQ 100 EMEA – a power list of the most important and influential people in data-driven businesses and the innovators who support them. Those recognised in the 2024 DataIQ 100 are making extraordinary strides in the field of data innovation and possess the influence, profile, experience and knowledge to drive this vibrant industry forward and help create truly great businesses. - [Breaking down data culture – The ten pain points](https://www.dataiq.global/report/breaking-down-data-culture-the-ten-pain-points/): Unlock the secrets to building a thriving data culture. - [DataIQ 100 Summit Miami: Programme](https://www.dataiq.global/report/dataiq-100-summit-miami-programme/): Don’t miss your chance to connect with the world’s most influential data minds at the DataIQ 100 Summit Miami. Download the program to access the agenda, speakers, attendee list, and everything you need to level up your AI strategy. - [2024 DataIQ AI Awards – The essential guide](https://www.dataiq.global/report/2024-dataiq-ai-awards-the-essential-guide/): The 2024 DataIQ AI Awards are now open! Do you have a groundbreaking AI project that’s making a positive impact on society? We want to hear about it! Our comprehensive guide provides all the information you need to submit your entry. - [How to enter the 2024 DataIQ Awards](https://www.dataiq.global/report/how-to-enter-the-2024-dataiq-awards/): Submissions for the 2024 DataIQ Awards are open! Shine the spotlight on your team’s incredible work and get the recognition you deserve. Download this eBook to find out how to enter and our most frequently asked questions. - [2023 DataIQ Annual Review](https://www.dataiq.global/report/2023-dataiq-annual-review/): As the trusted global collaboration and intelligence platform for data leaders, we are committed to providing the best products, knowledge and events to our community. How did we achieve this in 2023? - [Data beyond limits: Unleashing the power of your organisation’s visionary data strategy](https://www.dataiq.global/report/data-beyond-limits-unleashing-the-power-of-your-organisations-visionary-data-strategy/): We have asked those who have made it into the DataIQ 100 to share their experiences regarding fixing the data foundations of their organisation, particularly with regard to data quality. - [Data Leaders – Priorities for 2024](https://www.dataiq.global/report/data-leaders-priorities-for-2024/): What are data leaders focusing on in 2024? Examine the latest DataIQ findings to see how your data office compares. - [Innovation: The new agenda for data](https://www.dataiq.global/report/innovation-the-new-agenda-for-data/): The explosion of interest in generative AI during 2023 has emphasised an important fact - that the road to innovation goes through the data office. - [Unlocking success with a data vision: Is your entire organisation on board?](https://www.dataiq.global/report/unlocking-success-with-a-data-vision-is-your-entire-organisation-on-board/): We have asked those who have made it into the DataIQ 100 to share their views and experiences regarding setting a vision for data and the scope of those visions. - [DataIQ Awards 2023 Book of the Night](https://www.dataiq.global/report/dataiq-awards-2023-book-of-the-night/): The standard has been extremely high and the competition fierce for the 2023 DataIQ Awards - the data industry’s most prestigious awards. Read about each organisation, team and individual that has been crowned a 2023 DataIQ Awards winner. - [Future-Proofing Data Strategy](https://www.dataiq.global/report/future-proofing-data-strategy/): Explore the role of data apprenticeships in empowering CDOs. - [Data leadership unlocked: The must-have skills for success](https://www.dataiq.global/report/data-leadership-unlocked-the-must-have-skills-for-success/): We have asked those who have made it into the Future leaders list to share their views on what they believe are the most important must-have skills to achieve success as a data professional. - [How well do you (need to) know your models?](https://www.dataiq.global/report/how-well-do-you-need-to-know-your-models/): Over the past five years there has been a massive growth within retailers looking to use Machine Learning (ML) and Artificial Intelligence (AI) to improve performance, simplify the customer journey and increase innovation. But should we always trust the algorithms, and are they even required? - [The future of data: Anticipating industry-wide challenges for the year ahead](https://www.dataiq.global/report/the-future-of-data-anticipating-industry-wide-challenges-for-the-year-ahead/): We have asked those who have made it into the DataIQ 100 to share their views on what they believe the most important and pressing challenges will be for data and analytics over the next 12 months - [How to Thrive as a Chief Data Officer in 2023](https://www.dataiq.global/report/how-to-thrive-as-a-chief-data-officer-in-2023/): Discover why CDO positions are so tenuous and misunderstood and what successful CDOs are doing differently from their struggling counterparts. - [How to enter the DataIQ Awards 2023](https://www.dataiq.global/report/how-to-enter-the-dataiq-awards-2023/): Submissions for the DataIQ Awards 2023 close next week! Shine the spotlight on your team’s incredible work and get the recognition you deserve. Download this eBook to find out how to enter and our most frequently asked questions. - [2022 DataIQ Annual Review](https://www.dataiq.global/report/2022-dataiq-annual-review/): At DataIQ, we are committed to connecting, developing and elevating data leaders and their teams. How did we achieve this in 2022? - [Keeping pace with data technology](https://www.dataiq.global/report/keeping-pace-with-data-technology/): We asked those who have made it into the DataIQ 100 to share their views on how to keep pace with technology. - [DataIQ Way of the 100 Conference Agenda](https://www.dataiq.global/report/dataiq-way-of-the-100-conference-agenda/): The DataIQ 100 Way of the 100 2022 will focus on the data community’s big issues. Joining 200 like-minded, ambitious data professionals across all sectors, including DataIQ 100 nominees. - [Connected leadership: Growing your data network](https://www.dataiq.global/report/connected-leadership-growing-your-data-network/): As new technologies and data are being developed at a rapid pace, how important is it to keep pace and stay in touch with your peers? We asked those who have made it into the DataIQ 100 to share their views on how to keep pace and grow your peer group. - [Proven techniques to get data to the boardroom](https://www.dataiq.global/report/proven-techniques-to-get-data-to-the-boardroom/): Where data scientists sit in your organisation is vital. We asked those who have made it into the DataIQ 100 to share their views on how to get data a seat at the boardroom during strategic discussions. - [The role and value of external data in a post-pandemic world](https://www.dataiq.global/report/the-role-and-value-of-external-data-in-a-post-pandemic-world/): This whitepaper examines the extents to which external data is being adopted, how the pandemic has affected customer data collection and how this data is valued moving forward into a post-pandemic era. - [DataIQ Awards 2022 Book of the Night](https://www.dataiq.global/report/dataiq-awards-2022-book-of-the-night/): The standard has been extremely high and the competition fierce for the 2022 DataIQ Awards - the data industry’s most prestigious awards. Read about each organisation, team and individual that has been crowned a 2022 DataIQ Awards winner. - [Why democratising skills is fundamental to achieving data maturity](https://www.dataiq.global/report/why-democratising-skills-is-fundamental-to-achieving-data-maturity/): This report is an opportunity to explore the true value of data maturity and how coordinating your data skills development across departments can lead to effective results and better overall data literacy. - [Upskilling Data Leaders](https://www.dataiq.global/report/upskilling-data-leaders/): We have asked those who have made it into the DataIQ 100 to share their views on what key skills contribute to success and how to develop those skills. In this guide we share what some of the industry leaders who have made the list believe is fundamental in achieving success in these areas - [DEI in data: Many bridges still to cross](https://www.dataiq.global/report/dei-in-data-many-bridges-still-to-cross/): Diversity is essential for a well-rounded, functioning data office and implementing a recruitment approach that understands intersectional diversity is the way forward. Research indicates that highly diverse teams produce better results with reduced algorithmic bias, which is a necessity for organisations aiming to be leaders in their field. - [Managing marketing data in the first-party era](https://www.dataiq.global/report/managing-marketing-data-in-the-first-party-era/): This report, conducted in collaboration between Acxiom and DataIQ, examines customer data and the challenges this poses to marketing. - [Driving digital transformation: The road to value creation](https://www.dataiq.global/report/driving-digital-transformation-the-road-to-value-creation/): This report, conducted in collaboration between Informatica and DataIQ, highlights the different paths that businesses are taking on the road to digital transformation, the challenges faced and the factors that underpin successful value creation. - [How to enter the DataIQ Awards 2022](https://www.dataiq.global/report/how-to-enter-the-dataiq-awards-2022/): The DataIQ Awards 2022 will honour both companies and individuals that have demonstrated excellence in the data industry over the pasts 12 months. This eBook covers how to enter and our most frequently asked questions. - [Time is money, so is data](https://www.dataiq.global/report/time-is-money-so-is-data/): Demand for data skills is reaching unprecedented levels. Skills shortages and the war for talent have come to the top of virtually every executive team agenda. So how do you future-proof your organisation? - [Using data for good](https://www.dataiq.global/report/dataiq100-using-data-for-good/): Earlier this year we asked the DataIQ 100 to share their approach towards data for good, and the philanthropic initiatives they are planning to embark on in the near future. - [How to drive successful data transformations](https://www.dataiq.global/report/how-to-drive-successful-data-transformations/): The pandemic fundamentally reshaped the way businesses interact with their customers. This brought a profound sense of urgency to the transformation agenda, as businesses adapted to weather a period of unprecedented disruption. - [DataIQ Awards 2021 Book of the Night](https://www.dataiq.global/report/dataiq-awards-2021-book-of-the-night/): The standard has been extremely high and the competition fierce for the 2021 DataIQ Awards - the data industry’s most prestigious awards. Read about each organisation, team and individual that has been crowned a 2021 DataIQ Awards winner. - [Delivering value through data science](https://www.dataiq.global/report/delivering-value-through-data-science/): This report’s findings on the value generated by data science really emphasise why those who have embraced it are so zealous about transforming their businesses to be more data-driven. - [Making every data minute count](https://www.dataiq.global/report/making-every-data-minute-count/): This report will give you a greater insight into the data skills gap emergency and the challenges it’s creating. Armed with the full picture, you can explore innovative ways to increase data literacy in your organisation. - [Driving digital transformation](https://www.dataiq.global/report/driving-digital-transformation/): Download this eBook by DataIQ and Tableau to find out how you can increase the chances of success with your digital transformations. - [Customer-first, but are data and technology falling behind?](https://www.dataiq.global/report/customer-first-but-are-data-and-technology-falling-behind/): With so much data, more stringent regulations, and higher customer expectations today, learn how brands are using data to understand and engage customers better in a disrupted digital world. - [Business transformation – Catch up or get caught out](https://www.dataiq.global/report/business-transformation-catch-up-or-get-caught-out/): We know that digital transformation has never been more important, but the fact remains that most programmes under-deliver or fail outright. Some research suggests three out of four transformation programmes fail. So how do you make sure you are in the 5% of transformation projects that do deliver? - [New data, better business](https://www.dataiq.global/report/new-data-better-business/): This simple five-step guide summarises the attributes one needs to look out for when evaluating new data providers. As data becomes ever more important as a tool to make commercially-viable strategic decisions, it is vital to ensure that the source of that data is selected based on a fully-informed decision as well. - [How to enter the DataIQ Awards 2021](https://www.dataiq.global/report/how-to-enter-the-dataiq-awards-2021/): The DataIQ Awards 2021 will honour both companies and individuals that have demonstrated excellence in the data industry over the pasts 12 months. This eBook covers how to enter and our most frequently asked questions. - [Driving recovery with better data quality](https://www.dataiq.global/report/driving-recovery-with-better-data-quality/): The challenges that businesses have faced with their data and marketing look very similar, as many of the findings in this latest round of research highlight. Some have seen little or no impact on their data strategies, whereas others have faced a significant change to their circumstances. - [How to scale data science (when nobody else understands it)](https://www.dataiq.global/report/how-to-scale-data-science-when-nobody-else-understands-it/): For many companies, their investment in data science and their emphasis on making it a first-class corporate function have paid significant benefits. They’re seeing substantial operating improvements, improved employee efficiency, new revenue streams and much more. Download this report to explore many of these benefits. - [How to develop your data culture](https://www.dataiq.global/report/how-to-develop-your-data-culture/): We asked our 2021 DataIQ 100 Top Ten to share their views on how to develop a data culture in an organisation, how to build out data literacy and their thoughts on creating a data-first mindset. You can find out what they think leads to success in this eBook. - [Data assets and data culture](https://www.dataiq.global/report/data-assets-and-data-culture/): Download this exclusive research by DataIQ and find out which organisations have achieved full alignment between their data and business strategies and how this relates to their data literacy and digital transformation programmes. - [Customer data platforms: Integrating data, transforming enterprises](https://www.dataiq.global/report/customer-data-platforms-integrating-data-transforming-enterprises/): This report presents the findings from a survey across 101 companies to identify their goals for digital transformation and data integration, together with the obstacles they encounter. - [ISO 27701: Setting a New Standard for Privacy](https://www.dataiq.global/report/iso-27701-setting-a-new-standard-for-privacy/): What does ISO 27701 mean for your organisation? Currently, there is no “official” GDPR certification or seal. ISO 27701 is the closest an organisation can get to certify it is compliant with the regulation. As an extension to one of the most famous international standards, this will set the global benchmark for data protection practices. It is applicable to all industries and to organisations of every size. Download this report by DQM GRC to explore the importance of ISO 27701, the benefits of I - [Mind the Data Gap](https://www.dataiq.global/report/mind-the-data-gap/): The biggest challenge facing marketers remains the same - acquiring new customers. Alongside it, a new challenge has emerged - how to analyse data and gain insight that drives marketing performance. - [Privacy, Value and Ethics Report 2: Coping with the cautious consumer](https://www.dataiq.global/report/privacy-value-and-ethics-report-2-coping-with-the-cautious-consumer/): This research report confirms that we have now entered the calm before the storm. With research revealing 39.8% of organisations have still not reached a state of full compliance. This report explores attitudes to data sharing, awareness of data protection laws, trust and data sharing, negative impacts on trust and attitudes. - [Privacy, Value and Ethics Report 1: In association with Crowe](https://www.dataiq.global/report/privacy-value-and-ethics-report-1-in-association-with-crowe/): This research report confirms that, while consumers will continue to want increased personalisation, speed and flexibility in how they transact and engage with firms, many consumers will not compromise trust or their own privacy to achieve that. The research also positions data ethics as a rather immature concept in today’s thinking, both by consumers and businesses. - [Seven steps to implementing successful artificial intelligence projects](https://www.dataiq.global/report/seven-steps-to-implementing-successful-artificial-intelligence-projects/): Utilising data and AI at a business level to drive the overall value of the customer is very different from using it at the tactical level to optimise a channel or clicks and warrants considerable upfront planning. In this paper, we explore the steps that organisations need to take to implement AI into their organisation to ensure the greatest chance of success. - [10 Enterprise Analytics Trends to Watch in 2019](https://www.dataiq.global/report/10-enterprise-analytics-trends-to-watch-in-2019/): How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organisations will win with embedded and augmented analytics, Hyper-intelligence, collaboration, enterprise AI strategies, and more. - [Join the dots: Why tackling data issues is key to digital transformation](https://www.dataiq.global/report/join-the-dots-why-tackling-data-issues-is-key-to-digital-transformation/): This report, a collaboration between DataIQ and Experian, is a deep dive into the how and why of digital transformation as well as the role data quality and data management play in its success. Download this report to understand the importance of data quality and data management and how to prevent data quality pitfalls in transformation programmes. - [The Data Trends Report 2019](https://www.dataiq.global/report/the-data-trends-report-2019/): The Data Trends Report 2019: Are You On Board With The Customer Journey? discusses the results of a quick-fire survey of over 270 data insight and marketing campaign software users across a variety of industries. Discover the channels that are being used to drive customers’ communications, including the most popular social channels. - [Trust and ethics](https://www.dataiq.global/report/trust-and-ethics/): As trust becomes an increasing factor for the customer, demonstrating the ethics of how data is to be used, managed and protected will become a competitive differentiator. - [Improving marketing effectiveness](https://www.dataiq.global/report/improving-marketing-effectiveness/): Consumers expect to receive personal and relevant communications from the brands they choose to interact with. To do this, brands need to understand which touchpoints an individual engages with and what influence that engagement has on the customer’s purchase decision so that they can continue to serve the right message, at the right time - which will allow them to stand out amongst competition. This guide will talk you through different attribution methods which vary in complexity and accuracy, - [Switched-on consumers – Their data, their terms](https://www.dataiq.global/report/switched-on-consumers-their-data-their-terms/): DataIQ in association with Tealium carried out a research project among consumers exploring their awareness of how personal information is being requested and used, as well as what influences their attitudes during this data-value exchange. Download this report to see what the research reveals about privacy attitudes and consumer awareness of data protection rights. - [The CDP opportunity](https://www.dataiq.global/report/the-cdp-opportunity/): How Brands Can Leverage Customer Data Platforms to Create Timely, Relevant and Personalized Experiences Each day, an estimated 2.5 quintillion bytes of data is created. This includes staggering amounts of transactional and demographic data, as well as virtually infinite amounts of behavioral data. For many organizations, the problem lies not in the gathering of such data but in it’s organization, analysis and application. - [Key Strategies For A High Performing Data and Analytics Program In 2018](https://www.dataiq.global/report/key-strategies-for-a-high-performing-data-and-analytics-program-in-2018/): Successful brands know that having quality customer data drives greater business success and more engaged customers. Yet organizations of every size continue to struggle with making data-driven decisions as a result of poor quality data. - [Dynamic customer data in a digital world – Insight Report 2018](https://www.dataiq.global/report/dynamic-customer-data-in-a-digital-world-insight-report-2018/): Consumer data is changing at an unprecedented rate. To achieve growth from the huge potential of customer data means senior leaders across all industry sectors must address the key challenges. - [What Makes an Enterprise Mobile App Great](https://www.dataiq.global/report/what-makes-an-enterprise-mobile-app-great/): Today’s mobile users are demanding - only 5% of mobile consumer apps survive their first 30 days. Any organization embarking on an enterprise mobility initiative must heed the hard-learned lessons from the consumer space to ensure the successful adoption of their apps. - [Digital Transformation of Retail](https://www.dataiq.global/report/digital-transformation-of-retail/): The retail environment has never been more competitive. Online and mobile shopping channels, with their lower overhead costs, exert constant pressure on retailers to deliver low prices while remaining profitable. - [Three Steps to Optimise Your Mobile Strategy](https://www.dataiq.global/report/three-steps-to-optimise-your-mobile-strategy/): As organisations embrace enterprise mobility and move down the path to mobile maturity, it’s critical that they take the time to periodically evaluate their progress and overall strategy. - [The role of data in digital transformation](https://www.dataiq.global/report/the-role-of-data-in-digital-transformation/): The exponential pace of disruptive innovation is fundamentally changing the way enterprise organizations do business. In response, companies are looking to digital transformation initiatives as the key to the discovery and development of new business models and long-term business survival. - [Location Intelligence Drives Competitive Edge In The Digital Age](https://www.dataiq.global/report/location-intelligence-drives-competitive-edge-in-the-digital-age/): Digital media has had a profound impact on the way consumers interact and engage with brands. They are no longer satisfied with loosely targeted mass marketing communications and instead they expect products, services, communications and discounts that are tailored to their needs and buying habits. - [Improve Customer Experience with the Right Data Management System](https://www.dataiq.global/report/improve-customer-experience-with-the-right-data-management-system/): We live in an era where customer experience trumps product features and functions. How do you exceed customer’s expectations every time they interact with your organisation? - [Digital Transformation at CFAO Improves Customer Satisfaction](https://www.dataiq.global/report/digital-transformation-at-cfao-improves-customer-satisfaction/): CFAO is a 4.2 billion euro company based in France that does business in 36 African countries, 7 French overseas territories, Denmark, Portugal, Italy, India, Vietnam, and Cambodia. With more than 140 operational subsidiaries, CFAO found it difficult to be as responsive as they wanted. - [Making Analytical Content Easy to Find, Interact With, Share, and Combine](https://www.dataiq.global/report/making-analytical-content-easy-to-find-interact-with-share-and-combine/): The importance of collaboration has become apparent in modern business. In fact, 97 percent of employers and staff members believe that alignment within a team has a substantial impact on the outcome of a project or task. - [Enabling AI services through operationalisation + self-service analytics](https://www.dataiq.global/report/enabling-ai-services-through-operationalisation-self-service-analytics/): Operationalisation and self-service analytics are critical pieces to the transformation of a data-powered enterprise, including the movement toward AI. However, that doesn’t mean that the two systems in and of themselves are a final destination. - [Customer-centric trends behind winning companies](https://www.dataiq.global/report/customer-centric-trends-behind-winning-companies/): Marketing data insights and campaign automation can deliver powerful results, no matter what industry you work in. Nowhere is this better demonstrated than in the ‘Best use of the Apteco Marketing Suite Award’ finalists, who all demonstrate the winning customer-centric strategies that deliver competitive advantage. - [AI-Powered Omnichannel Customer Marketing](https://www.dataiq.global/report/ai-powered-omnichannel-customer-marketing/): Artificial intelligence is the alpha trend in technology right now and is having a sweeping impact on how marketing organisations work and approach customers. AI is not new, but due to a series of converging conditions – wide availability of machine learning and advanced analytics; an abundance of data; and affordability of raw computational power – AI has gained momentum and is today a technology with substantial transformational impact. - [How to use smart data to deliver a higher ROI](https://www.dataiq.global/report/how-to-use-smart-data-to-deliver-a-higher-roi/): Unlock the true potential of your data with data-driven marketing to make better decisions. Today, marketers turn to the most reliable source of information: The customer data. Unfortunately, though so many still have problems with the data-driven approach. Many often ask us where to find suitable data. Others criticize about the lack of tools. - [The definitive guide to ETL & data integration for marketers](https://www.dataiq.global/report/the-definitive-guide-to-etl-data-integration-for-marketers/): Collecting, cleaning, putting it together and making sense of data to derive business insights is a lot to deal with. Companies that do master that process will be the ones set themselves apart from the pack. - [Enabling CDOs and the Data Revolution](https://www.dataiq.global/report/enabling-cdos-and-the-data-revolution/): The Chief Data Officer role has gone from anomaly to necessity within the last five years. Find out why that is the case and how to overcome the struggles to achieve data maturity. - [2018 Global State of Enterprise Analytics Report](https://www.dataiq.global/report/2018-global-state-of-enterprise-analytics-report/): The 2018 Global State of Enterprise Analytics report by MicroStrategy is based on an expansive survey of 500 analytics professionals from around the world and delivers an overall picture of the latest thinking around analytics and mobility, and a glimpse of what’s next. - [Swipe Right: Moving consumers from an on/off affair to a committed data relationship](https://www.dataiq.global/report/swipe-right-moving-consumers-from-an-onoff-affair-to-a-committed-data-relationship/): How to move consumers from an on/off affair to a committed data relationship: A report from DQM GRC on how to make sure you are ready when former customers get back in contact, how to reset the data relationship and ten questions to ask about your data relationship with consumers. - [The New Role of Marketing Analytics & Visualisation](https://www.dataiq.global/report/the-new-role-of-marketing-analytics-visualisation/): In the second instalment of the Strategic Playbook for Data-Driven Agencies series by Adverity, we take a closer look at the growing role of data visualisation and dashboards. Agencies must embrace new data-driven technology to ensure their long-term future and keep pace in times of digital transformation. - [The 11 Core Functionalities of a Successful Data Strategy](https://www.dataiq.global/report/the-11-core-functionalities-of-a-successful-data-strategy/): In this report Tealium has partnered with Gartner to round up the top data and analytics predictions to help professionals enhance their strategic programmes and embrace digitalisation. - [Data and the future of the NHS](https://www.dataiq.global/report/data-and-the-future-of-the-nhs/): A data revolution awaits the UK’s under-strain NHS – and it has the potential to transform it into the highly efficient and effective service that we all desire. Download this report by Consentric today to explore the role of artificial intelligence in non-clinical applications and what is the NHS’s data revolution. - [Trust in the Digital Age](https://www.dataiq.global/report/trust-in-the-digital-age/): In this increasingly digital world, do individuals understand the amount and worth of the data they generate? Are organisations transparent about how they use and store this personal data? Download this report by Consentric today to explore why earning trust and why rebuilding trust is important and key factors shaping transparency - [Why the Universal Data Hub?](https://www.dataiq.global/report/why-the-universal-data-hub/): The explosion of marketing technology has brought today’s businesses new and more relevant ways to communicate and engage with their customers. In this report, Tealium explores how to transform your business and customer experiences by connecting data across every customer touchpoint. - [2018 DataIQ 100](https://www.dataiq.global/report/dataiq-100-report/): DataIQ has created the definitive list of power players – the people we believe possess the most influence, profile, experience and knowledge to drive the vibrant data-driven marketing industry. ## Articles - [Beyond AI Experimentation: What Data Leaders are Learning About Scaling AI](https://www.dataiq.global/articles/beyond-ai-experimentation-what-data-leaders-are-learning-about-scaling-ai/): This article is a summary of all the conversations, presentations, and roundtable discussions held at the recent DataIQ Peer Exchange in Boston, US, where data and AI leaders examined what it takes to move organisations forward while scaling successfully. - [From Insight to Outcomes: Randy Bean opens DataIQ’s Boston Peer Exchange with a Challenge for Leaders](https://www.dataiq.global/articles/insight-to-outcomes-randy/): Randy Bean kicked off DataIQ’s Boston Peer Exchange examining how AI has increased the strategic importance of data, who owns AI, who owns the decisions, and who is accountable.  - [AI Leadership Today Is About Judgement, Not Just Speed](https://www.dataiq.global/articles/ai-leadership-today-is-about-judgement/): At DataIQ Guild, the big question was not how to get more AI into the business, but where to push forward, where to hold back and what the organisation is genuinely ready for. Our new report, Deliberate Decisions, explores how senior data and AI leaders are making those calls. - [Quality at Scale: Discover Why Domino’s is DataIQ’s Highest-Scoring Award Winner This Decade](https://www.dataiq.global/articles/quality-at-scale-dominos-grand-prix/): Learn how one data scientist's attempt to drive pizza quality consistency evolved into a business-wide transformation at Domino's, which became the highest score awarded by DataIQ judges at the 2026 DataIQ Awards this decade. - [Generation T: Leading the First Human-AI Workforce](https://www.dataiq.global/articles/generation-t-leading-the-first-human-ai-workforce/): As AI takes on more execution, the challenge is no longer simply where to automate, but how to preserve human judgement, authority and expertise. DataIQ's Chief Knowledge Officer, David Reed explores what leaders need to consider as human and AI workforces begin to blend. - [Data Governance in Federated Organisations: Successful Tactics to Build Alignment Without Central Control](https://www.dataiq.global/articles/data-governance-federated/): Regulated sectors must ensure highly consistent governance across decentralised units. This exclusive DataIQ peer exchange shared pragmatic tactics to align federated teams, embed accountability, and operationalise governance without direct control.  - [Governance that Accelerates: Turning AI Ambition into Trusted, Scalable Change](https://www.dataiq.global/articles/governance-that-accelerates/): Leaders from data governance functions, explored how organisations can move AI from experimentation into responsible, operational use. - [The 2026 DataIQ Awards Winners Demonstrate the Greatest Achievements Across the Data and AI Industry](https://www.dataiq.global/articles/2026-dataiq-awards-winners/): The 2026 DataIQ Awards have celebrated the ingenuity, ambition, and dedication of individuals, teams, and organisations. This year’s winners showed everything from the programmes moving the needle to the leaders setting the standard of excellence. - [Hiring, Upskilling, Retaining: What Actually Solves the Data Talent Gap?](https://www.dataiq.global/articles/hiring-upskilling-retaining-what-actually-solves-the-data-talent-gap/): AI is changing the data talent equation. Leaders are still struggling to recruit some specialist skills, but the bigger challenge is identifying the right capabilities, assessing candidates when AI can cover up competence, and creating stronger internal pathways for people to develop. - [The CDO Capacity Crisis: Burnout as a Leadership Issue](https://www.dataiq.global/articles/cdo-capacity-crisis/): The CDO role has changed rapidly to include large amounts of responsibility and a move away from data tasks, but is this new iteration of the CDO leading to burnout for leaders? - [Developing Data and AI Talent in High Maturity Organisations](https://www.dataiq.global/articles/developing-data-and-ai-talent-in-high-maturity-organisations/): Building AI capability requires more than hiring. Organisations need to balance specialist recruitment, internal development, and adaptable career pathways to keep pace with rapidly evolving technology. - [EU AI Act Delays Offer Financial Services More Time, Not Less Responsibility](https://www.dataiq.global/articles/eu-ai-act-delays-financial-time/): Finance and insurance organisations have been given some respite from the upcoming EU AI Act changes, but they need to utilise this extra time to strengthen their AI governance. - [AI governance in insurance – Building trust while accelerating adoption](https://www.dataiq.global/articles/ai-governance-in-insurance-building-trust-while-accelerating-adoption/): Governance frameworks are rapidly becoming outdated as AI evolves. Read how senior data and AI leaders from the insurance industry are adapting governance to boost innovation at speed. - [AI governance in banking: Scaling oversight without slowing innovation](https://www.dataiq.global/articles/ai-governance-in-banking-scaling-oversight-without-slowing-innovation/): A banking discussion between DataIQ clients examined the pressures surrounding governance while trying to scale AI adoption. - [Designing Enterprise Trust for Data and AI: The Back-of-the-House Data Reliability Operating Model](https://www.dataiq.global/articles/designing-enterprise-trust-for-data-and-ai/): Modern data platforms may be faster and more scalable, but that does not mean their outputs are trusted. As AI raises the stakes, data leaders need to ask a harder question: is reliability something they are monitoring, or something they have deliberately engineered? - [EU AI Act Delays Create Breathing Room for AI Governance](https://www.dataiq.global/articles/eu-ai-act-delays-create-breathing-room-for-ai-governance/): The latest updates to the timeline for the EU AI Act provide some extra space for data and AI leaders, but vigilance needs to remain high for all things governance. - [Stop calling it AI](https://www.dataiq.global/articles/stop-calling-it-ai/): Personal productivity gains don’t necessarily translate into strategic value, and this article written in partnership with BDO explores companies can do about it. - [Building Use Case Portfolios That Deliver Results](https://www.dataiq.global/articles/building-use-case-portfolios-that-deliver-results/): Leaders are under pressure to prove value, prioritise effectively, and scale what works, yet many use cases stall before impact. Peers in this DataIQ roundtable addressed how to bridge that gap with stronger portfolio discipline and execution. - [Navigating AI Risk: Building Resilient and Responsible Data Practices](https://www.dataiq.global/articles/navigating-ai-risk-building-resilient-and-responsible-data-practices/): Data and AI leaders need to develop sturdy data practices that can ensure governance in an era of scaling while monitoring and deflecting risk. - [Where Generative AI Is Creating Value in Data Product Delivery](https://www.dataiq.global/articles/where-generative-ai-is-creating-value-in-data-product-delivery/): Generative AI Is creating value at scale as organisations grapple with the difficulties surrounding rapidly outdated models or systems that get stuck within individual projects. - [Governance is the Route from AI Pilots to Enterprise Performance](https://www.dataiq.global/articles/governance-ai-pilots-performance/): As organisations find embracing AI experimentation easier than ever before, AI production remains an operating commitment. Governance has therefore arrived front and centre, acting as the mechanism that allows AI to scale with trust.  - [Nine Ways to Measure the Impact of Your Data Literacy Programme](https://www.dataiq.global/articles/nine-ways-to-measure-your-data-literacy-programme/): For years, data literacy programmes have been the cornerstone of empowering organisations to make better decisions with data. While launching these programmes has been a challenge, the biggest complexity has been proving that they work. - [What do the C-Suite Want and Expect from CDO’s?](https://www.dataiq.global/articles/c-suite-want-and-expect-cdos/): CDOs are being tasked with AI translation and storytelling to C-suite executives, as well as handling prioritization, governance, culture, and transformations across organizations – so what does the C-suite truly want from their CDO? - [How can we Successfully Innovate within Highly Regulated Environments?](https://www.dataiq.global/articles/innovate-regulated-environments/): Regulated sectors are discovering the real constraint regarding the scaling of AI is rarely regulation itself, but operational. This DataIQ panel examines how AI innovation and scaling can be achieved within highly regulated industries. - [Day 2 Highlights – Operating Models, Data Products, and the Reality of Scale](https://www.dataiq.global/articles/operating-models-reality-scale/): Day 2 of the DataIQ 100 Summit in Nashville shifted the conversation from why decision intelligence matters to how it is actually delivered at scale with different operating models. - [Day 1 Highlights: Decisions, Agentic AI, and Leadership](https://www.dataiq.global/articles/day-1-decisions-agentic-ai-leadership/): Day 1 of the DataIQ 100 Summit North America dove into decisions, agentic AI, and leadership excellence, culminating in the reveal of the Top Ten data and AI leaders in North America. - [The Rise of Decision Intelligence: How Data and AI Leaders are Rewiring the Enterprise](https://www.dataiq.global/articles/the-rise-of-decision-intelligence/): The Rise of Decision Intelligence examines how leading organizations are responding to this shift in practice. - [The 2026 DataIQ 100 North America Top Ten revealed in Nashville](https://www.dataiq.global/articles/the-2026-dataiq-100-north-america-top-ten-revealed-in-nashville/): The most influential leaders in data and AI across North America for 2026 have been unveiled, recognizing those driving measurable impact across organizations and the wider industry. - [From Use Cases to Operating Models: Structuring for Agentic AI](https://www.dataiq.global/articles/structuring-operating-models-for-agentic-ai/): While ideas for agentic AI use cases are plenty, the key to scaling is rethinking the structures that surround them. - [Removing Human-in-the-Loop Without Compromising Customer Experience](https://www.dataiq.global/articles/human-in-the-loop-customer-experience/): Removing humans from the AI process without damaging the customer experience was the topic of discussion at two roundtables at the DataIQ 100 Discussion, hosted by Accenture. - [In Conversation the DataIQ Number One of 2025 – Confronting the Hardest Leadership Challenges in Data](https://www.dataiq.global/articles/conversation-the-dataiq-number-one-2025/): Johanna Hutchinson, Group CDO, BAE Systems, and 2025’s top-ranked DataIQ 100 Europe leader spoke about her experience leading at scale in a highly regulated, high-stakes environment. - [The End of AI Theatrics – What Data and AI Leaders Must Prove in 2026](https://www.dataiq.global/articles/ai-theatrics-leaders-must-prove-2026/): An overview of the key findings from the latest DataIQ report, The End of AI Theatrics: Accountability, Governance, and Value in 2026. - [Seven Decisions That Determine S/4HANA Migration Success](https://www.dataiq.global/articles/seven-decisions-that-determine-s-4hana-migration-success/): S/4HANA migration is rarely just a system upgrade. This article outlines seven key decisions shaping success, based on real-world experience from senior data and transformation leaders navigating complex ERP transitions. - [What Does It Take to Lead Data, AI, and Cultural Transformation in 2026?](https://www.dataiq.global/articles/data-ai-cultural-transformation-2026/): At the 2026 DataIQ 100 Discussion, a panel of data and AI leaders discussed knowing where AI genuinely matters, where it does not, and how to move organisations forward. - [Scaling Agentic AI – Frameworks, Governance, and Real-World Impact](https://www.dataiq.global/articles/scaling-agentic-ai-governance/): A panel at the 2026 DataIQ 100 Discussion examined frameworks, governance, and real-world impact in an environment where agentic AI is rapidly scaling. - [What’s Next for the Role of the CDO](https://www.dataiq.global/articles/whats-next-for-the-role-of-the-cdo/): A panel discussion at the 2026 DataIQ Discussion in London highlighted several shifts that are reshaping the CDO role as AI moves closer to the centre of enterprise strategy. - [DataIQ 100 Discussion: The Future is Here](https://www.dataiq.global/articles/dataiq-100-discussion-future-here/): The 2026 DataIQ 100 Discussion brought data and AI leaders together to examine scaling Agentic AI, the changing role of the CDO, and much more across a day of panels, roundtables, and keynotes. - [Communication Tactics that Win Executive Buy-In and Unlock AI Progress](https://www.dataiq.global/articles/communication-tactics-that-win-executive-buy-in/): Exclusive DataIQ peer insights on how data and AI leaders are reframing conversations with senior executives to unlock funding, accelerate decisions and shift accountability. - [How to Scale Agentic AI: Top Five Priorities for Data and AI Leaders](https://www.dataiq.global/articles/how-to-scale-agentic-ai-top-five-priorities/): In a recent DataIQ masterclass, Elizabeth Osta, DataIQ expert and co-founder of the Frugal AI Hub, outlined five practical priorities for organisations preparing to deploy agentic AI at scale. - [Agentic AI: The Six Biggest Deployment Challenges](https://www.dataiq.global/articles/agentic-ai-the-six-biggest-challenges/): Exclusive DataIQ peer insights reveal the six biggest practical challenges in deploying agentic AI — from governance gaps and cost volatility to skills shortages and organisational redesign. - [Making Data Products Stick: Driving Adoption, Speed and Value in Mature Organisations](https://www.dataiq.global/articles/making-data-products-stick/): Data product adoption across mature organisations continues to be a bottleneck, despite strong investment. DataIQ clients came together to examine their successes. - [Submissions open for the 2026 DataIQ Awards](https://www.dataiq.global/articles/submissions-open-2026-dataiq-awards/): The 2026 DataIQ Awards, the data and AI industry’s premier celebration of excellence, is open for submissions with an Early Bird deadline offer. - [DataIQ to reveal the 2026 DataIQ 100 Europe live, celebrating the most influential leaders in data and AI](https://www.dataiq.global/articles/dataiq-2026-dataiq-100-europe-live/): Who is moving the needle across data and AI this year? On 4 February, the industry finds out. Join your peers for the live unveiling of the 2026 DataIQ 100 Europe, the definitive ranking of the leaders shaping the future of data and AI. - [Building a Business Case for AI](https://www.dataiq.global/articles/building-a-business-case-for-ai/): Ofgem’s Chris Gullick challenges the fantasy of ready-made AI value, arguing that the business case is more of a political, cultural, and organisational project than a document to pitch.  - [Scaling AI Use Cases into Enterprise Products](https://www.dataiq.global/articles/scaling-ai-use-cases-enterprise-products/): Dan Taffler, winner of the Data & AI Leader of the Year Europe 2025, hosted an exclusive DataIQ masterclass examining the practical realities of scaling an AI proof-of-concept from experimentation to a business-critical enterprise product inside a major UK media organisation. - [The Data-Confident Enterprise: Empowering Colleagues to Enhance Operations](https://www.dataiq.global/articles/data-confident-enterprise/): National Grid is building a data-confident enterprise by scaling AI, embedding fluency, and federating ownership across 30,000 employees to power the energy transition. - [Building Trust to Enhance the Role of Data in the Economy](https://www.dataiq.global/articles/building-trust-to-enhance-role-of-data/): The ONS shared their insightful experiences and lessons with data errors, issues, and managing trust at the DataIQ World Congress. - [From Siloed to Event-Driven Care: How Data and AI Are Reshaping NHS Patient Journeys](https://www.dataiq.global/articles/reshaping-nhs-patient-journeys/): NHS England is rebuilding the data and digital infrastructure behind patient journeys, creating the conditions for safe, scalable, and clinically meaningful use of AI. - [Designing AI for Adoption: From Pilots to Products](https://www.dataiq.global/articles/designing-ai-for-adoption/): Why do so many AI pilots stall? Mastercard’s Mara Pometti believes the issue isn’t merely technical, it’s experiential. AI scales only when there is adoption, and adoption is powered by experience. If interactions with AI feel cranky, irrelevant, or misaligned with users’ expectations, engagement collapses and pilots die — and even the smartest model can’t recover a broken experience. - [The CEO’s Lens: Unlocking Business Transformation Through the Chief Data Officer](https://www.dataiq.global/articles/the-ceos-lens/): Data and AI leaders must stop chasing pilots and start shaping enterprise agency. This was the challenge set by Accenture’s Matt Prebble during DataIQ’s World Congress where he positioned the CDO as the CEO’s multiplier for execution and trust. - [The winners of the 2025 DataIQ Awards showcase the best of the data and AI industry](https://www.dataiq.global/articles/the-winners-of-the-2025-dataiq-awards-showcase-the-best-of-the-data-and-ai-industry/): The 2025 DataIQ Awards have shone a spotlight on those making the difference in the data and AI industry, the pinnacle of leadership, and the emerging talent. - [DataIQ World Congress Day 2 Highlights: Action Trumps Ambition](https://www.dataiq.global/articles/dataiq-world-congress-day-2-highlights-action-trumps-ambition/): By bringing CEOs, CDOs, policymakers, and innovators into the same conversation, the 2025 DataIQ World Congress reaffirmed its place as the meeting point for those shaping the next chapter of data and AI leadership as a community united by impact, not hype.   - [DataIQ World Congress Day 1 Highlights: Connection, Collaboration and Accountability](https://www.dataiq.global/articles/dataiq-world-congress-day-1-highlights-connection-collaboration-and-accountability/): Day 1 of the DataIQ World Congress provided incredible insights into the inner workings of the world of data and AI leadership with impressing keynote speeches and panel discussions. - [Final call: Nominations for the 2026 DataIQ 100 Europe will close on 7 November](https://www.dataiq.global/articles/final-call-nominations-for-dataiq-100/): The countdown is on. Nominations for the 2026 DataIQ 100 Europe – the data and AI industry’s definitive power list – will close at midnight on Thursday 7 November. - [Africa’s Data & AI Elite Revealed in Inaugural DataIQ 30 Africa List](https://www.dataiq.global/articles/africas-data-ai-elite-revealed-in-inaugural-dataiq-30-africa-list/): The future of Africa’s data and artificial intelligence landscape took centre stage yesterday as DataIQ unveiled its first-ever Africa 30 list, a powerful new addition to its globally renowned DataIQ 100 series. Held at The Venue, Houghton Hotel in Johannesburg, and powered by Accenture, the Africa inclusion marks a major milestone for the continent’s role in shaping the global data and AI agenda. - [10 Tips to Successfully Migrate to Microsoft Fabric](https://www.dataiq.global/articles/10-tips-to-successfully-migrate-to-microsoft-fabric/): Microsoft Fabric is gathering momentum across enterprise data teams, with leaders seeking best practices for migration. Those with experience are clear that migrating successfully isn’t just about technical setup but about designing new habits, ownership models and governance from day one. - [Myth versus Reality of Technical Data Lineage](https://www.dataiq.global/articles/myth-versus-reality-of-data-lineage/): The path to robust data lineage is still uphill and strewn with pitfalls. DataIQ recently bought together leaders from mature organisations to exchange best practices on the topic, revealing a wealth common myths and practical advice on how to to meaningfully advance with technical data lineage. - [1.9 Years: What Short CDO Tenure Says About Your Organisation](https://www.dataiq.global/articles/what-short-cdo-tenure-says-about-your-organisation/): Our latest report reveals that the average tenure of a Chief Data Officer in Europe is 1.9 years. In other words, the role designed to lead data and AI transformation across people, culture, and technology is gone in less than two years. What does that mean for your organisation? - [Stop Explaining Agentic AI — Start Implementing It](https://www.dataiq.global/articles/stop-explaining-agentic-ai/): Scaling agentic AI and proving its worth with successful implementation is the challenge being faced by data and AI leaders as curiosity wanes. - [Data and AI Leadership: Under Way and Under Pressure](https://www.dataiq.global/articles/data-and-ai-leadership-under-way-and-under-pressure/): A new report by DataIQ in collaboration with Databricks explores the real leadership work behind the AI-first organisation - [Profit with Purpose: We’re Officially a B Corp!](https://www.dataiq.global/articles/dataiq-is-officially-a-b-corporation/): We’re proud to announce we are now officially a Certified B Corporation. This milestone reflects our commitment to building a business that balances profit with purpose. - [DataIQ World Congress Reinvented: Two Days That Will Shape the Future of Data and AI](https://www.dataiq.global/articles/dataiq-world-congress-reinvented/): Make sure you are in London 4-5 November to take part in the 2025 DataIQ World Congress and Awards. - [Designing Data Strategies That Last Beyond Year One](https://www.dataiq.global/articles/designing-data-strategies-that-last/): How organisations can secure executive ownership, align delivery, and build data strategies that sustain business transformation. - [Trust, Transformation, and Accountability: DataIQ’s David Reed at Big Data LDN 2025](https://www.dataiq.global/articles/trust-transformation-and-accountability-dataiqs-david-reed-at-big-data-ldn-2025/): Join David Reed at Big Data LDN’s tenth anniversary on the 24 September to hear about trust, transformation, and accountability in the age of agentic AI. - [Leadership Traits Fueling AI Excellence](https://www.dataiq.global/articles/leadership-traits-fueling-ai-excellence/): The profiles of the 2025 DataIQ 100 North America have been assessed by Blend with a DiSC profile and Dashboard to highlight what makes a data and AI leader. - [Part 3 – The Next Generation Data and AI Leader: From Hype to Hard Value](https://www.dataiq.global/articles/next-generation-data-and-ai-leader/): The DataIQ 100 examine how future data and AI leaders can transition from hype to value as organisations continue to evolve in a new data-centric landscape. - [What the 2 August EU AI Act deadline means in practice for EU and UK‑based data and AI leaders](https://www.dataiq.global/articles/august-eu-ai-act-deadline/): The EU AI Act’s second major phase is now live and enforceable, so what does this mean for data and AI leaders across the continent? - [Part 2 – Culture versus Speed: The Regional Realities of Data and AI Leadership](https://www.dataiq.global/articles/culture-speed-regional-realities/): Culture versus speed is the core or the difference between North American and European data and AI leaders according to the most recent DataIQ 100 list. - [Part 1 – Common Ground, Rising Stakes: The Universal Mandate for Data and AI Leaders](https://www.dataiq.global/articles/universal-mandate-data-and-ai-leaders/): Part one of a new series examining what data and AI leaders from the DataIQ 100 Europe and DataIQ 100 North America lists for 2025 think about the evolution of the role over the next year. - [More than Data: Key Leadership Skills to Win Sponsorship](https://www.dataiq.global/articles/leadership-skills-to-win-sponsorship/): This article, part of our new DataIQ 100 Insights Series, unveils the leadership behaviours that help data and AI leaders earn trust, build influence, and secure lasting sponsorship by leading beyond their teams and becoming indispensable to their organisations. - [Successfully Enabling Data Sharing in the Aerospace and Defence Sector](https://www.dataiq.global/articles/data-sharing-aerospace-and-defence/): Aerospace and defence data and AI leaders examine the challenges surrounding security and regulation of sharing data both within and between organisations. - [Decoding Sponsorship Approaches: Regional Insights from the DataIQ 100](https://www.dataiq.global/articles/decoding-sponsorship/): This article, part of our new DataIQ 100 Insights Series, examines how regional mindsets shape data sponsorship, revealing subtle yet powerful differences in strategy, language and engagement between European and North American leaders. - [Practical Actions for Data and AI Leaders Under the UK’s Data (Use and Access) Act](https://www.dataiq.global/articles/actions-data-use-and-access-act/): The UK Data (Use and Access) Act 2025 is a moment of reorientation and data and AI leaders need to embrace the changes to succeed. - [Sponsorship That Sticks: 8 Strategies Data and AI Leaders Don’t Talk About Enough](https://www.dataiq.global/articles/sponsorship-that-sticks/): The DataIQ 100 provide their insights into what makes a successful sponsorship and how it can be maintained. - [Succeed with Data Career Transitions and Leadership](https://www.dataiq.global/articles/data-career-transitions-and-leadership/): At the May meetup, leaders and data experts from DataIQ clients came together to discuss career progression stories and delve into how the career pathway for data professionals is changing. - [Implementing a Scalable and Governed Self-Service Model](https://www.dataiq.global/articles/scalable-and-governed-self-service-model/): Data leaders from sectors including utilities, media, financial services, and manufacturing shared practical insights on how to design scalable self-service models that enable local action without losing governance, trust, or value. - [Translating Reform into Reality: How DataIQ Supports the New Data (Use and Access) Bill](https://www.dataiq.global/articles/data-bill-translating-reform-reality/): The Data (Use and Access) Bill 2025 is a significant recalibration of the UK’s data protection landscape and data leaders need to be aware of what changes are coming. - [Making Data Work for the Energy Sector](https://www.dataiq.global/articles/making-data-work-for-the-energy-sector/): Data governance in the energy sector remains a stubborn problem despite heavy investment. While data governance is seen as a prerequisite for AI initiatives, using AI to enhance data governance is still largely aspirational.  - [Day 2 Highlights: Summit North America 2025 – Part Two](https://www.dataiq.global/articles/day-2-highlights-part-two/): Day 2 of the DataIQ Summit North America showcased keynote speeches from some of the leading names in data and AI. - [Day 2 Highlights: Summit North America 2025](https://www.dataiq.global/articles/day-2-highlights-summit-north-america-2025/): Day 2 of the US DataIQ Summit continued the opening day energy and discussions, shifting from foundational strategy and experimentation surrounding AI to the structural, cultural, and commercial transformations needed to embed data and AI into the enterprise. - [The 2025 DataIQ Awards North America winners announced](https://www.dataiq.global/articles/2025-dataiq-awards-na-winners/): Destination Canada, Colgate-Palmolive, and National Grid were among those celebrated at the Awards for their data and AI developments to improve functions, processes, and benefits to users. - [Same CDAO title, different game: the realities of data and AI leadership](https://www.dataiq.global/articles/same-cdao-title-different-game/): At Guild, senior data and AI leaders will be exploring the evolving role of the CDAO. Following last year's event, leaders from Databricks, Elsevier, and DataIQ unpacked three leadership archetypes and discussed what it takes to move beyond delivery into enterprise influence. - [Day 1 Highlights: DataIQ Summit North America 2025](https://www.dataiq.global/articles/day-1-highlights-us-summit-2025/): The opening day of the 2025 DataIQ Summit North America brought together an energized community of the region's leading data and AI practitioners, strategists, builders, and changemakers united by a shared mission: to move data and AI into the mainstream of business value creation. - [The leading names in North American data and AI are revealed in the 2025 DataIQ 100 North America list](https://www.dataiq.global/articles/the-2025-dataiq-100-north-america-list/): The industry's premier data and AI leaders gathered in Nashville for the unveiling of the 2025 DataIQ 100 North America. - [Avoiding the rocket trap: AI strategy needs a guiding mind](https://www.dataiq.global/articles/ai-strategy-needs-a-guiding-mind/): At Guild 2025, senior data and AI leaders will be tackling the challenges of successfully scaling AI. Based on insights from Databricks, Elsevier, and DataIQ, this post explores why CDAOs need to act as guiding minds—avoiding fragmentation by aligning innovation with enterprise-wide value. - [Walking in sunshine: Resilient leadership in the age of AI](https://www.dataiq.global/articles/resilient-leadership-in-the-age-of-ai/): At DataIQ’s Guild think tank, senior data and AI leaders unpack the emotional arc of leadership—from early optimism to disillusionment, and back to clarity. Featuring insights from Databricks, Elsevier, and DataIQ, they discuss why emotional resilience is a core capability for AI-first leadership. - [Guild Think Tank 2025: Data and AI leadership in an AI-first world](https://www.dataiq.global/articles/data-ai-leadership-in-ai-first-world/): At the Guild think tank, a small group of big thinkers are shaping the future of data and AI leadership — through conversations that can only happen here. - [Mastering data foundations for AI: Practical strategies for chief data and AI officers](https://www.dataiq.global/articles/mastering-data-foundations-for-ai/): As AI evolves faster than businesses can handle, it is up to data leaders to understand how solid foundations will ensure long-term success and flexibility.  - [What CDOs wish they knew before taking the job](https://www.dataiq.global/articles/what-cdos-wish-they-knew/): Lessons from Data and AI Leaders on the CDO role who have been there before, and things the new CDOs wish they knew about the challenges ahead. - [AI governance as a strategic advantage: Regulation, trust and competitive edge](https://www.dataiq.global/articles/ai-governance-as-a-strategic-advantage/): Demands for AI governance are growing, provoking concern among data and AI leaders that it will stifle their ability to create value. However, others see it as compelling opportunity for trust-building and innovation. - [Best practices for implementing agentic AI](https://www.dataiq.global/articles/best-practices-implementing-agentic-ai/): Agentic AI is a leap forward in organisational AI adoption. Here we discuss the best practices to harness its full potential. - [Why analysts stay stuck in execution mode](https://www.dataiq.global/articles/why-analysts-stay-stuck-in-execution-mode/): Analytics teams remain stuck in delivery mode rather than shaping strategic conversations, but this can be remedied with trust and culture according to David Castro-Gavino, Global Vice President of Data, HelloFresh SE. - [DeepSeek – Game changer or risk?](https://www.dataiq.global/articles/deepseek-game-changer-or-risk/): What are the risks associated with the controversial generative AI tool DeepSeek and what are the benefits that data leaders can extract? - [DataIQ 100 North America to be unveiled at Nashville Summit](https://www.dataiq.global/articles/dataiq-100-north-america-to-be-unveiled-at-nashville-summit/): The DataIQ 100 has long been acknowledged as a benchmark for leadership in data and AI. Expanding its reach to North America reinforces DataIQ’s commitment to showcasing and connecting the individuals driving data-led transformation across industries.  - [How can businesses leverage agentic AI?](https://www.dataiq.global/articles/how-can-businesses-leverage-agentic-ai/): Agentic AI is the next evolution for data-driven organisations, so community members came together to share their early-stage experiences and aspirations for the new technology. - [DataIQ 100 – Lorenzo Bavasso, BT: Underpinning business transformation with AI](https://www.dataiq.global/articles/underpinning-business-transformation-with-ai/): BT devised and implemented a new set of AI tools in its internal systems to move away from legacy systems and transform the organisation. - [The DataIQ 100 reveals the top ten leading data professionals for 2025](https://www.dataiq.global/articles/the-dataiq-100-reveals-the-top-ten-leading-data-professionals-for-2025/): The leading personalities in data and AI for 2025 were revealed at yesterday’s DataIQ 100 – the premier curated list of influential data and AI leaders. - [Embedding your data literacy programme masterclass](https://www.dataiq.global/articles/embedding-your-data-literacy-programme-masterclass/): Data literacy programmes are essential for data-centric success and evolving data culture. DataIQ members came together to listen to an expert explain their organisation's data literacy journey. - [How the Academy for Future Leaders (AFL) benefits aspirational data professionals](https://www.dataiq.global/articles/become-the-next-data-leader-afl/): AFL alumni Jordan Dwyer explains why data professionals should take part in the AFL programme and how careers can be boosted by expert tuition. - [Developing engagement with your own data academies](https://www.dataiq.global/articles/developing-engagement-with-your-own-data-academies/): In recent years, many DataIQ members have heavily invested in developing data academies, e-learning courses, and in-house training to improve data literacy. However, engagement and application of learning remain significant hurdles. - [Building data strategy and trust through foundational governance](https://www.dataiq.global/articles/strategy-trust-foundational-governance/): Foundational governance is arguably the bedrock to building data strategy trust for an organisation going through a transformation. - [Winning with AI: Destination Canada’s revolutionary AI data collective](https://www.dataiq.global/articles/winning-ai-destination-canada/): Destination Canada has utilised AI to achieve new heights and shared its journey with DataIQ members at an exclusive masterclass. - [Organisational data engagement through gamification](https://www.dataiq.global/articles/data-engagement-gamification/): Gamification has been utilised by DataIQ member data leaders to improve connections across the wider organisation have to data and its benefits. - [Focus on strategic outcomes for CRM success: Slow down to speed up](https://www.dataiq.global/articles/strategic-outcomes-crm-success/): DataIQ partner Salocin Group explains how organisations can benefit from shifting focus to being more outcome obsessed in implementing future-ready CRM, to achieve strategic success. - [2025 AI and data leadership – Executive benchmark survey leadership, transformation, and innovation in an AI future](https://www.dataiq.global/articles/2025-ai-and-data-leadership/): Randy Bean's report on AI and data leadership in 2025 provides stunning insights into the lay of the land for data professionals. - [Frontline lessons for organisational AI preparation](https://www.dataiq.global/articles/frontline-lessons-ai-preparation/): As businesses embrace AI, data leaders need to make sure they have prepared properly for the journey, and BigID explained AI preparation at the DataIQ 100 Summit. - [A data culture introduction for non-data professionals](https://www.dataiq.global/articles/data-culture-introduction/): An easy guide for data leaders to present to non-data professionals in their organisations about what data culture is. - [A failure in training is failing digital transformations](https://www.dataiq.global/articles/training-failing-transformations/): There is a severe lack of training to complement new tech and tools which is leading to large numbers of data and digital investments failing. - [What the Data Use and Access Bill means for DataIQ members](https://www.dataiq.global/articles/data-use-and-access-bill-dataiq-members/): How will the proposed Data Use and Access Bill impact DataIQ members, and will there need to be any new considerations for day-to-day operations? - [How to overcome data challenges with AI adoption](https://www.dataiq.global/articles/overcome-data-challenges-ai-adoption/): DataIQ partner Grant Thornton examines some of the main challenges CDOs face with AI adoption and how to tame them. - [Winning awards – How EDF energised its data office vibe](https://www.dataiq.global/articles/winning-awards-edf-data-office/): EDF’s data office had a highly successful year at the DataIQ Awards and spoke to the DataIQ community about how it achieved excellence with a range of projects. - [Sainsbury’s personalisation at scale for actionable benefit customer health](https://www.dataiq.global/articles/personalisation-at-scale-sainsburys/): Data can help the public become healthier when applied correctly with personalisation, and Sainsbury’s is a prime example of making that a reality. - [DataIQ unveils the 2025 Future Leaders](https://www.dataiq.global/articles/dataiq-2025-future-leaders/): The DataIQ Future Leaders for 2025 have been announced, highlighting the prowess of the talent pipeline for data industry leaders.  - [The path to production and value with AIOps](https://www.dataiq.global/articles/the-path-to-production-and-value-with-aiops/): DataIQ partner Data Reply examines how data leaders can overcome challenges surrounding AI deployment and scaling to achieve rapid success. - [How to win adoption of your data](https://www.dataiq.global/articles/how-to-win-adoption-of-your-data/): Data leaders from Coventry Building Society and Specsavers sat down with David Reed at the DataIQ 100 Summit to examine strategies for data adoption in different organisations. - [TfL – Making data matter when every journey matters](https://www.dataiq.global/articles/tfl-making-data-matter-when-every-journey-matters/): With events such as the Olympics and a pandemic impacting operations, how did data keep TfL running on time? - [The Crown Estate – Using data to create lasting and shared prosperity for the nation](https://www.dataiq.global/articles/the-crown-estate-using-data-lasting-prosperity/): The Crown Estate manages land and marine assets across the UK and has a goal to harness data and AI to drive sustainable development to maximise the value of its assets for the nation. - [AI adoption and change preparation](https://www.dataiq.global/articles/ai-adoption-and-change-preparation/): AI adoption and change cannot happen overnight, so how are the DataIQ community preparing for this new era of data? WNS Analytics provides some answers. - [Winning with strong data efficiency in 2025](https://www.dataiq.global/articles/winning-data-efficiency-2025/): Efficiency is the name of the game with data, and no other business function can achieve maximised efficiency without the data office taking the lead.  - [The 2025 DataIQ Data & AI Awards are now open](https://www.dataiq.global/articles/2025-dataiq-data-ai-awards-open/): The 2025 DataIQ Data & AI Awards are open, and the gala will be held on May 13, Nashville, Tennessee, following the success of 2024’s inaugural event. - [DataIQ and Data Leaders Merge to Form No. 1 Service to Enable Success of Data and AI Leadership](https://www.dataiq.global/articles/dataiq-and-data-leaders-merge/): DataIQ and Data Leaders are merging, combining their expertise to enable data and AI leaders to drive measurable impact across their organisations. - [UK Government unveils Data Use and Access Bill to drive benefits for the nation](https://www.dataiq.global/articles/data-use-and-access-bill/): The Data Use and Access Bill aims to be a cost-effective way to improve the use of data for the public good while generating billions for the economy. - [Budgets and priorities for 2025 success](https://www.dataiq.global/articles/budgets-and-priorities-2025/): Data leaders need to address budget constraints and alignment priorities for the coming year to ensure success, growth, and security. - [Submit your nominations for the 2025 DataIQ 100](https://www.dataiq.global/articles/nominations-for-2025-dataiq-100/): Those included in the DataIQ 100 have demonstrated exceptional dedication to the progression and development of data and analytics through their role and career. - [Measuring the business impact of AI use cases](https://www.dataiq.global/articles/measuring-business-impact-ai-use-cases/): Matt Fitzpatrick, Senior Partner at QuantumBlack, AI by McKinsey shared his views on how AI use cases can be measured for impact and successful scaling in an age where AI and genAI tools are becoming essential. - [3 data culture dos and don’ts](https://www.dataiq.global/articles/3-data-culture-dos-and-donts/): Developing data culture can take time and be confusing for non-data professionals, so here are some key things to keep in mind when promoting data culture.  - [The public has legitimate AI fears, so what can organisations do?](https://www.dataiq.global/articles/ai-fears-what-can-organisations-do/): A new viral post on social media demonstrates the public’s concerns around AI, emphasising the need for data leaders to ensure trust and transparency. - [The 2024 DataIQ Awards celebrated AI breakthroughs, cultural developments, and new industry leadership at sold-out event](https://www.dataiq.global/articles/2024-dataiq-awards/): EDF, The Financial Times, Sainsbury’s, Specsavers, and Superdrug were among those honoured at the DataIQ Awards for their prowess in developing the data industry and benefitting society. - [The UN suggests overseeing a global approach to AI regulation](https://www.dataiq.global/articles/un-ai-regulation/): Different governments have been pressing forward with new AI regulations, and the UN has stepped into the fray stating it could oversee a global regulatory approach. - [AI training programme launched by DataIQ member The Crown Estate](https://www.dataiq.global/articles/crown-estate-ai-programme/): With AI becoming an integral part of business operations, The Crown Estate has launched an AI training programme to capitalise on opportunities for success.  - [The UK signs international AI treaty and provides security boost for data centres](https://www.dataiq.global/articles/uk-ai-treaty-and-investment/): The UK has signed a new framework agreed by the Council of Europe to bolster safeguards against AI infringements alongside renewed investment into data centre protection from cyberattacks. - [New AI Maturity Assessment available for DataIQ members](https://www.dataiq.global/articles/new-ai-maturity-assessment/): The DataIQ AI Maturity Assessment gives DataIQ members exclusive access to assess the readiness of their AI functions and receive recommendations to reach the next level. - [AI regulation SB 1047 is causing concerns in California](https://www.dataiq.global/articles/ai-regulation-sb-1047/): “Well-intentioned but ill informed” appears to be the consensus on California’s latest AI regulation bill SB 1047 at a time when practical regulation is needed. - [dbt Labs: Governance in an era of democratisation and self-service](https://www.dataiq.global/articles/dbt-labs-governance/): As businesses begin to embrace better data democratisation and self-service, the focus on governance should be further enhanced. - [The decline of DEI in data in 2024: The bell tolls for thee](https://www.dataiq.global/articles/decline-of-dei/): Despite the proven benefits of DEI in data, the closure of The Tech Talent Charter and anti-DEI rhetoric by influential individuals is delivering a death knell to the success of data teams. - [Embedding data and AI culture to measure business value through literacy programmes](https://www.dataiq.global/articles/business-value-literacy-programmes/): Multiverse hosted a roundtable at the 2024 DataIQ 100 Discussion where members delved into how they are achieving value through data and AI cultures and improving literacy. - [The Critical 7: Scaling to production level AI](https://www.dataiq.global/articles/scaling-to-production-level-ai/): DataIQ partner Blend provides insight into seven essential aspects of successful scaling with your future AI. - [From Analyst to Architect: The CDAO’s blueprint for AI transformation](https://www.dataiq.global/articles/the-cdaos-blueprint-for-ai-transformation/): Explore the key traits and strategies from DataIQ’s Top 100 that emerging leaders can adopt to navigate data challenges and drive data-driven transformation. - [Labour’s 330bn plan to unlock the potential of data](https://www.dataiq.global/articles/labours-330bn-plan-to-unlock-the-potential-of-data/): A new Labour government is upon us. Read on for updates on their changes to data sharing, regulation, and Artificial Intelligence including a focus on fintech, and a commitment to data sharing. - [Outstanding achievements in data and analytics highlighted in the DataIQ Awards 2024 shortlist](https://www.dataiq.global/articles/2024-dataiq-awards-shortlist/): The DataIQ Awards 2024 shortlist has been revealed, ramping up excitement for the most prestigious awards in the data and analytics calendar. - [AI Revolution – Essential insights from the DataIQ 100 Summit](https://www.dataiq.global/articles/ai-revolution-dataiq-100-summit/): How can data leaders conduct a successful AI revolution? With AI dominating the conversation in recent months, the US DataIQ 100 Summit examined the topic in depth. - [Celebrations for excellence in data at the 2024 DataIQ 100 Discussion](https://www.dataiq.global/articles/excellence-dataiq-100-discussion/): Awards for innovation and culture were presented at the DataIQ 100 Discussion, as well as an induction to the DataIQ 100 Hall of Fame for Ming Tang, CDAO, NHS England. - [Data leaders set the industry agenda at the 2024 DataIQ 100 Discussion and Summer Lunch](https://www.dataiq.global/articles/2024-dataiq-100-discussion-lunch/): The best minds in data and analytics came together at the DataIQ 100 Discussion and Summer Lunch to debate the hot industry topics and celebrate excellence. - [Data narrator – Essential insights from the DataIQ 100 Summit](https://www.dataiq.global/articles/data-narrator-dataiq-100-summit/): A data narrator is core to success when delivering complex and multilayered information to business decision makers. Discover storytelling tips from data leaders at the US DataIQ 100 Summit. - [Responsible AI – Essential insights from the DataIQ 100 Summit](https://www.dataiq.global/articles/responsible-ai-dataiq-100-summit/): Leading names in data and analytics examined how to navigate responsible AI and implement it in different businesses at the recent DataIQ 100 Summit. - [Essential learnings from the DataIQ 100 Summit](https://www.dataiq.global/articles/essential-learnings-100-summit/): Explore the key learnings from the recent DataIQ 100 Summit and hear from some of the leading names in data and analytics. - [The 2024 DataIQ AI Award winners have been revealed](https://www.dataiq.global/articles/2024-dataiq-ai-award-winners/): Scotiabank, Destination Canada, Ally Financial, and Mars Wrigley are among those honored for their work with AI and subsequent contributions to the data industry and wider society. - [The DataIQ 100 US reveals leading data professionals in the US for 2024](https://www.dataiq.global/articles/2024-dataiq-100-us-reveal/): The DataIQ 100 US – the top 100 and an exclusive Top Ten data leaders – in the US were announced at the 2024 DataIQ Summit held in Miami, Florida. - [Pioneering AI initiatives revealed: DataIQ Announces 2024 AI Awards Shortlist](https://www.dataiq.global/articles/2024-ai-awards-shortlist/): The shortlist for the 2024 DataIQ AI Awards has been unveiled, with the winners to be announced at the DataIQ Summit on May 21. - [Final chance to enter the 2024 DataIQ Awards and demonstrate your team’s prowess](https://www.dataiq.global/articles/2024-dataiq-awards-final-chance/): The final deadline for submissions to the 2024 DataIQ Awards – 26 April – is rapidly approaching, so make sure you have entered to clinch a title. - [Data Literacy versus Data Culture – DataIQ’s view](https://www.dataiq.global/articles/data-literacy-data-culture/): DataIQ explains the differences between data literacy and data culture, as understanding the differences is essential to achieve buy in and support from business leaders. - [International collaborative AI safety agreement signed](https://www.dataiq.global/articles/collaborative-ai-agreement-signed/): The US and UK have signed a landmark deal to collaborate with advanced AI testing, but the reality may not add up to much. - [Building a better reputation for the data function](https://www.dataiq.global/articles/data-function-reputation/): DataIQ member insights provide key areas to focus on when it comes to promoting the data function within an organisation. - [Data Culture for Teams Assessment](https://www.dataiq.global/articles/data-culture-for-teams-assessment/): DataIQ has created the Data Culture for Teams Assessment to help member organisations evaluate their data culture maturity using the ten DataIQ data culture dimensions. - [5 ways to improve data culture](https://www.dataiq.global/articles/5-ways-to-improve-data-culture/): Data culture is at the heart of data success, but there is always room for improvement, particularly in departments outside of the data team. - [3 reasons why nobody is talking about the cost of generative AI](https://www.dataiq.global/articles/3-reasons-why-nobody-is-talking-about-the-cost-of-generative-ai/): David Reed dives into the financial side of generative AI as costs can rapidly spiral if not monitored and there is a necessity to be accurate with the use of tools. - [How to secure AI talent and succeed in AI recruitment](https://www.dataiq.global/articles/how-to-secure-ai-talent/): Data leaders must understand what is needed to recruit and retain AI talent in an environment where vacancies are prolific. - [What are the quick genAI wins for the data office?](https://www.dataiq.global/articles/what-are-the-quick-genai-wins/): Data leaders need quick genAI wins to demonstrate the power of data and secure increased budgets and backing, but where should they begin? - [3 historical female figures you did not know were data experts](https://www.dataiq.global/articles/3-historical-female-figures-you-did-not-know-were-data-experts/): This International Women’s Day DataIQ shine the spotlight onto three female historical figures who had an early material impact on analytics and data processing. - [The DataIQ 100 reveals the leading data professionals for 2024](https://www.dataiq.global/articles/the-dataiq-100-reveals-the-leading-data-professionals-for-2024/): The top minds in data and analytics were unveiled last night in the 2024 DataIQ 100 – the data industry’s only curated list of influential data leaders. - [What the US Artificial Intelligence Safety Institute (USAISI) means for business and AI](https://www.dataiq.global/articles/what-the-usaisi-means-for-business/): With the launch of a new USAISI, what does this mean for businesses focused on the development of AI tools and regulations? - [How to start and embed a successful data academy: lessons from the DataIQ community](https://www.dataiq.global/articles/how-to-start-a-data-academy/): DataIQ members discussed what is needed to begin an in-house data academy to upskill team members and develop a sustainable talent pipeline. - [DataIQ 100 Success Series: EDF – National sustainability and preparing for the unexpected](https://www.dataiq.global/articles/edf-sustainability-unexpected/): EDF’s head of data and CRM, and member of the DataIQ 100 Martin Aylward, spoke to DataIQ editor Alex Roberts, about what data leaders need to succeed and how investment in data teams can provide extreme unseen wins. - [DataIQ 100 Success Series: Data Driven Danske – Leveraging data in a new way for legacy business](https://www.dataiq.global/articles/data-driven-danske/): Legacy businesses have a unique set of challenges when adopting a new data-driven future, as Niresh Rajah, Group Chief Data Officer, Danske Bank and member of the DataIQ 100 explains with his new value driven approach: Data Driven Danske. - [Graduate schemes in action – EDF securing future talent](https://www.dataiq.global/articles/graduate-schemes-in-action/): Clementine Whitcomb, data engineer, EDF, spoke with DataIQ about her experience completing a graduate scheme and why all businesses should look to introduce their own.  - [Planning data apprenticeships? Follow these 5 Ps](https://www.dataiq.global/articles/planning-data-apprenticeships/): David Reed, DataIQ’s chief knowledge officer and evangelist, explores what is required to solidify a data talent pipeline with an apprenticeship scheme. - [Is the UK on course to be a global data leader?](https://www.dataiq.global/articles/is-the-uk-a-global-data-leader/): As Google announces its latest investment in UK data capabilities, the nation’s aim to be a data leader seems to be sprouting. - [Ethical AI: First, do no harm, then do some good (responsibly!)](https://www.dataiq.global/articles/ethical-ai-responsibility/): As varying forms of AI and ML rapidly get adopted across the business world, there needs to be a discussion on the implementation of these tools and ethical AI to be used for good. - [5 ways to spot strong data culture](https://www.dataiq.global/articles/5-ways-to-spot-strong-data-culture/): A strong data culture is something all data leaders aspire to achieve for their business – but what are the signs of success? - [Five ways to spot strong data culture](https://www.dataiq.global/articles/five-ways-to-spot-strong-data-culture/): A strong data culture is something all data leaders aspire to achieve for their business – but what are the signs of success? - [AI just rocked Las Vegas. But where was data?](https://www.dataiq.global/articles/ai-just-rocked-las-vegas/): DataIQ chief knowledge officer and evangelist, David Reed, examines the gamble surrounding AI and why businesses need to play the game. - [Generative AI from a CIO’s perspective](https://www.dataiq.global/articles/generative-ai-from-a-cios-perspective/): This latest report delves into how CIO’s see the future of generative AI now that the technology looks to be a standard tool for data-driven businesses. - [Silos and dashboards: Mars’ voyage of data foundations to influence today’s business decisions for a better tomorrow](https://www.dataiq.global/articles/silos-and-dashboards-the-voyage-of-data-foundations-to-influence-todays-business-decisions-for-a-better-tomorrow/): DataIQ spoke with Deepak Jose from Mars Wrigley to gain insight into the monumental data journey that has taken place in recent years and radically altered the business data capabilities. - [What CEOs expect from their best CDOs](https://www.dataiq.global/articles/what-ceos-expect-from-their-cdos/): Top tips for CDOs on what to demonstrate and highlight to build connections with their CEOs and wider business leaders. - [DataIQ Member Case Study: Zurich Insurance – A new approach for a bright new data era](https://www.dataiq.global/articles/dataiq-member-case-study-zurich-insurance-a-new-approach-for-a-new-data-era/): Zurich Insurance data leaders discuss their data transformation journey, providing unique insights for developing data operations in a highly regulated legacy business. - [3 ways to smash silos](https://www.dataiq.global/articles/smashing-silos/): How can data silos can be addressed by data leaders to ensure effective communication, cooperation, and compliance? - [CDO Challenges – Smashing silos](https://www.dataiq.global/articles/cdo-challenges-smashing-silos/): This instalment of CDO Challenges examines how data silos can be addressed by data leaders to ensure effective communication, cooperation and compliance. - [EU AI Act progresses AI regulation in 2024](https://www.dataiq.global/articles/eu-ai-act/): The EU is creeping ahead of other regions in the race to take charge of AI regulation with the EU AI Act, but what does this mean for real-world businesses? - [AI regulation steps forward across the EU following a new Act](https://www.dataiq.global/articles/ai-regulation-steps-forward-across-the-eu-following-a-new-act/): The EU is creeping ahead of other regions in the race to take charge of AI regulation, but what does this mean for real-world businesses? - [How do you persuade business decision makers to follow the data?](https://www.dataiq.global/articles/how-do-you-persuade-business-decision-makers-to-follow-the-data/): Data practitioners know first-hand the importance of following the data to make key strategic decisions – but how can business decision makers be persuaded? - [Each US government agency must have a Chief Data Officer](https://www.dataiq.global/articles/us-government-agency-must-have-cdo/): A new Code in the US means that a CDO must be appointed for each government agency in a push to improve data-driven decision making and improve governmental efficiencies. - [Developing and introducing an ethical AI framework](https://www.dataiq.global/articles/developing-and-introducing-framework/): Data leaders looking to introduce an ethical AI framework can look back to the way GDPR was implemented to provide guidance on how it can be approached. - [What the EU AI Act means for you](https://www.dataiq.global/articles/what-the-eu-ai-act-means/): As the EU releases new information around the EU AI Act, David Reed examines what the new rules will mean for data leaders in the near future. - [Data office readiness for genAI](https://www.dataiq.global/articles/data-office-readiness-for-genai/): New findings lay out how business and data leaders are introducing, adopting and scaling the latest generative AI tools to improve business with data-led decisions. - [Data office readiness for generative AI](https://www.dataiq.global/articles/data-office-readiness-for-generative-ai/): New findings lay out how business and data leaders are introducing, adopting and scaling the latest generative AI tools to improve business with data-led decisions. - [The foundations needed for data- and AI-led growth](https://www.dataiq.global/articles/the-foundations-needed-for-data-and-ai-led-growth/): A new report discovers how data leaders are laying the groundwork for future growth driven by AI insights. - [How to persuade data owners to be data stewards](https://www.dataiq.global/articles/how-to-be-data-stewards/): It is one thing to own data sets, but another entirely to be responsible for its use and upkeep – so how can data leaders encourage team members to become data stewards? - [How do you influence data owners to be data stewards?](https://www.dataiq.global/articles/how-do-you-influence-data-owners-to-be-data-stewards/): It is one thing to own data sets, but another entirely to be responsible for its use and upkeep – so how can data leaders encourage team members to become data stewards? - [How do we successfully implement machine learning ops within our data tech stack?](https://www.dataiq.global/articles/implement-machine-learning-ops/): Machine learning is rapidly becoming an essential part of data tech capabilities, but there is still a level of risk involved and no definitive set of rules for introducing these new operations. - [How do we implement machine learning ops within our data tech stack?](https://www.dataiq.global/articles/how-do-we-implement-machine-learning-ops-within-our-data-tech-stack/): Machine learning is rapidly becoming an essential part of data capabilities, but there is still a level of risk involved and no definitive set of rules for introducing these new operations. - [Number of women in entry-level data roles more than halved in 2023](https://www.dataiq.global/articles/women-in-entry-level-roles-halved/): The proportion of women in entry-level data roles has more than halved in the UK and the US and declined in the EU data industry in 2023. - [Acquiring the data talent needed to achieve your data strategy](https://www.dataiq.global/articles/talent-to-achieve-data-strategy/): CDOs need to educate teams across an organisation and ensure a robust data strategy is in place to capitalise on the transformative insights available. - [AI must be embraced for progress and development](https://www.dataiq.global/articles/ai-must-be-embraced/): AI is here, and data offices need to embrace it or suffer the consequences of having their businesses falling behind competitors in the very near future. - [Starting a data academy programme: A blueprint for success](https://www.dataiq.global/articles/starting-a-data-academy/): Organisations need to implement their own data academy to prepare for long-term success as data’s place in the business world continues to rapidly evolve. - [DataIQ Member’s Briefing – Leadership and vision: Is your vision for data just a better BAU?](https://www.dataiq.global/articles/dataiq-members-briefing-vision/): DataIQ members came together to discuss whether business as usual – if it truly exists – is improved by a concrete data vision. - [Stressing the importance of a data strategy in 2024](https://www.dataiq.global/articles/stressing-a-data-strategy/): A data strategy is the roadmap for success utilising an organisation’s data capabilities, yet there is still a level of disconnect when it comes to non-data professionals appreciating its importance. - [CDO Challenges – Stressing the importance of a data strategy](https://www.dataiq.global/articles/cdo-challenges-stressing-the-importance-of-a-data-strategy/): A data strategy is the roadmap for success utilising an organisation’s data capabilities, yet there is still a level of disconnect when it comes to non-data professionals appreciating its importance. - [From Bletchley Park to Pennsylvania Avenue, AI just got schooled for 2024](https://www.dataiq.global/articles/ai-just-got-schooled/): Following an international AI summit and executive orders regarding AI from the US President, David Reed, DataIQ’s chief knowledge officer and evangelist, examines what the talk and agreements mean for the industry. - [Clarity is the key to successful data strategies](https://www.dataiq.global/articles/clarity-is-the-key-to-successful-data-strategies/): Data strategies are most successful when complemented by clear objectives, but the hard part is ensuring clarity. - [Skills shortage and technology should not be a barrier to entry to become a data-driven business](https://www.dataiq.global/articles/skills-shortage-and-technology-should-not-be-a-barrier-to-entry-to-become-a-data-driven-business/): There must be investment in technology and tools to become a data-driven business, but tight budgets and a lack of technical expertise should not stop organisations from starting their data journey. - [DataIQ DEI Working Group – Initial challenges, finding allies and assessing impacts](https://www.dataiq.global/articles/dataiq-dei-working-group-initial-challenges-finding-allies-and-assessing-impacts/): DataIQ has set up a DEI working group and Manraj Othi, lead decision scientist at Starbucks, took the time to chat with our editor to discuss why DEI is important and his experiences. - [The curious incident of the CDOs that didn’t bark](https://www.dataiq.global/articles/the-curious-incident-of-the-cdos-that-didnt-bark/): David Reed, DataIQ’s chief knowledge officer and evangelist, provides his thoughts on what can be done to re-bolster the status of data in organisations. - [Leveraging data within an AI strategy](https://www.dataiq.global/articles/leveraging-data-within-an-ai-strategy/): As AI continues to grip the business world and open more doors than ever before, it is pivotal to have data on a pedestal within an AI strategy to drive decisions and inform stakeholders. - [CDO Challenges – Achieving recognition](https://www.dataiq.global/articles/cdo-challenges-achieving-recognition/): CDOs need to stand up and embrace the spotlight for their efforts while ensuring top-level executives understand why recognition is important to future data success. - [Newspapers, radio and television – An insight into the impact of generative AI on media businesses](https://www.dataiq.global/articles/newspapers-radio-and-television-an-insight-into-the-impact-of-generative-ai-on-media-businesses/): With generative AI paving the way for a new era of data, businesses are rapidly seeking ways to incorporate tools into their operations, DataIQ member News UK delves into their approach. - [CDO Challenges – Data literacy means making better decisions](https://www.dataiq.global/articles/cdo-challenges-data-literacy-means-making-better-decisions/): Business leaders are in a race against competitors to make the best decisions possible for their objectives and it is up to CDOs and data to guide them. - [How to address inevitable data quality issues](https://www.dataiq.global/articles/how-to-address-inevitable-data-quality-issues/): Much like death and taxes, issues with data quality are a part of life for data practitioners – but there are steps to be taken to reduce any impact poor quality data may have on a business. - [ChatGPT – Is English the final word?](https://www.dataiq.global/articles/chatgpt-is-english-the-final-word/): Are tools such as ChatGPT cutting non-English languages out of the AI revolution? As these tools are currently only designed to work in English, do we risk alienating swathes of the global population? - [Understanding organisational literacy rates](https://www.dataiq.global/articles/understanding-organisational-literacy-rates/): Data literacy is a challenge faced by all data teams, but to improve the rates and spread of data literacy, CDOs must understand how data literacy looks in different departments. - [CDO Challenges – The rise of AI for data teams and being ready for the first step](https://www.dataiq.global/articles/cdo-challenges-the-rise-of-ai-for-data-teams-and-being-ready-for-the-first-step/): It can be very easy for CDOs to be pushed into adopting AI tools because of excited decision makers, but CDOs need to ensure they have thought about how AI can successfully be implemented. - [How well do you (need to) know your models? – A DataIQ member report](https://www.dataiq.global/articles/how-well-do-you-need-to-know-your-models-a-dataiq-member-report/): ML and AI tools have exploded in use for data organisations, but what more can be done to improve quality, compliance and efficiency with the models? DataIQ member Robert Bates, head of decision sciences, Currys, provides expert insight in this report. - [How to form a data vision](https://www.dataiq.global/articles/how-to-form-a-data-vision/): As a data leader it is imperative to create a data vision that can be demonstrated to decision makers for short and long-term projects, but how can one be formed? - [CDO Challenges – Storytelling for non-data audiences](https://www.dataiq.global/articles/cdo-challenges-storytelling-for-non-data-audiences/): This edition of CDO Challenges looks at how CDOs need to craft their storytelling abilities for audiences that are often unfamiliar with data value, data culture and data processes. - [New Data Literacy Assessment available for DataIQ members](https://www.dataiq.global/articles/new-data-literacy-assessment-available-for-dataiq-members/): DataIQ members can now use the DataIQ Data Literacy Assessment to evaluate team-specific data literacy credentials and implement improvements. - [Is your data team ready for generative AI?](https://www.dataiq.global/articles/is-your-data-team-ready-for-generative-ai/): The next era of AI tools is being implemented, but businesses must evaluate whether their team and organisation is prepared for a future involving generative AI. - [DataIQ Member Case Study: Heathrow – A lesson in data ethics success](https://www.dataiq.global/articles/data-ethics-with-heathrow/): Ethical data is one of the most important and delicate parts of the data process; Heathrow is a large organisation navigating the topic and ensuring that ethical data is adhered to. - [DataIQ Member’s Briefing – What does great data literacy look like?](https://www.dataiq.global/articles/dataiq-members-briefing-what-does-great-data-literacy-look-like/): Data literacy definitions vary between organisations, but the results and goals are similar for everyone. DataIQ members debated what great data literacy should look like and why. - [CDO Challenges – Recruitment in an era of skills shortages](https://www.dataiq.global/articles/cdo-challenges-recruitment-in-an-era-of-skills-shortages/): This edition of CDO Challenges looks at one of the most long-standing issues facing data teams – recruitment and retaining talent – and how CDOs can entice the next generation to work with them. - [CDO Challenges – Being aware of data literacy problems](https://www.dataiq.global/articles/cdo-challenges-being-aware-of-data-literacy-problems/): This edition of CDO Challenges delves into the problems non-data departments experience with data literacy which can hamper wider data culture development objectives. - [Generative AI and what it means for real businesses](https://www.dataiq.global/articles/generative-ai-and-what-it-means-for-real-businesses/): The findings of unique roundtables and a whitepaper about generative AI from DataIQ’s members and advisory board have been published for members to benefit from. - [DataIQ Member’s Briefing – ChatGPT: What the DataIQ community thinks](https://www.dataiq.global/articles/dataiq-members-briefing-chatgpt-what-the-dataiq-community-thinks/): Over the course of three unique DataIQ roundtables, members examined the role of generative AI tools and what can be expected from their implementation. - [DataIQ Advisory Report – Generative AI: How to land your project with an AI co-pilot](https://www.dataiq.global/articles/dataiq-advisory-report-generative-ai-how-to-land-your-project-with-an-ai-co-pilot/): This whitepaper from DataIQ delves into the new world of generative AI pulls together the insights discussed at three roundtable and at the DataIQ Advisory Board meeting in May 2023. - [DataIQ Member’s Briefing – Technology and tools: Is our data tech keeping pace?](https://www.dataiq.global/articles/dataiq-members-briefing-technology-and-tools-is-our-data-tech-keeping-pace/): DataIQ members came together for a roundtable discussion on whether the development and implementation of data tech is matching the pace required. - [Compliance and the importance of GDPR five years on](https://www.dataiq.global/articles/compliance-and-the-importance-of-gdpr-five-years-on/): With the fifth anniversary of the GDPR being introduced, it is important for businesses to examine why it is necessary and how they can best prepare for the next evolution of GDPR-style regulations. - [Are you being served? Consumer duty and its impact on data](https://www.dataiq.global/articles/are-you-being-served-consumer-duty-and-its-impact-on-data/): Compliance and regulation are part and parcel of working with data. Consumer duty has recently been reworked and businesses need to ensure they provide the best care for their customers. - [NetApp and Aston Martin F1 – Driving data to the top](https://www.dataiq.global/articles/netapp-and-aston-martin-f1-driving-data-to-the-top/): The volume of data required to be a world champion team in Formula 1 is staggering. NetApp, a partner of the Aston Martin F1 team invited Alex Roberts to see the data under the bonnet. - [Assessing and promoting the value of data](https://www.dataiq.global/articles/assessing-and-promoting-the-value-of-data/): Education and communication are essential to harness the optimum value of data and data professionals in an age where technical capabilities are being pushed to new frontiers. - [Technophobia – The fear that data businesses should be scared of](https://www.dataiq.global/articles/technophobia-the-fear-that-data-businesses-should-be-scared-of/): Technophobia is a problem with many facets that vary between teams and organisations, so what can be done to address the problem without alienating staff? - [CDO Challenges – Look a little closer… The essential skill of data visualisation](https://www.dataiq.global/articles/cdo-challenges-look-a-little-closer-the-essential-skill-of-data-visualisation/): This edition of CDO Challenges delves into data visualisation. By mastering the art of data visualisation, data leaders can deliver hard-hitting pieces of evidence to non-data professionals in a way that is digestible and resonates with their aims. - [The CMA begins a review into AI models](https://www.dataiq.global/articles/the-cma-begins-a-review-into-ai-models/): The UK’s Competition and Markets Authority (CMA) is examining AI foundation model development and use to ensure competition laws are met and consumer protections are in place. - [Unlocking value at ITV with Data Mesh and Thoughtworks](https://www.dataiq.global/articles/unlocking-value-at-itv-with-data-mesh-and-thoughtworks/): ITV partnered with Thoughtworks to implement a data mesh approach in a reimagining of data use for content production, promotion, distribution and monetisation in a way that is scalable and shareable. - [Tech investments ease the pressure of utilising data](https://www.dataiq.global/articles/tech-investments-ease-the-pressure-of-utilising-data/): With data being touted as the new oil and the rapid increase of data capture capabilities, businesses must invest in tech and tools to create a data-driven operation that extracts quality from data. - [OS Select+Build – Data to order](https://www.dataiq.global/articles/os-selectbuild-data-to-order/): Ordnance Survey’s new approach to distributing data showcases the scale of data use and prepares for a future of continued data hunger from users. - [AI for BI – The inevitable and exciting future for data](https://www.dataiq.global/articles/ai-for-bi-the-inevitable-and-exciting-future-for-data/): The use of artificial intelligence for businesses has escalated dramatically in recent years and there is good reason for this trend. However, there are some caveats to bringing in a new AI tool without fully understanding its capabilities. - [CDO Challenges – Ensuring data ethics](https://www.dataiq.global/articles/cdo-challenges-ensuring-data-ethics/): Data ethics: without it, data businesses cannot progress. This edition of CDO Challenges looks at how data professionals can ensure data ethics are installed and upheld in organisations. - [Girls Into Coding – Addressing inequality in data and nurturing new talent](https://www.dataiq.global/articles/girls-into-coding-addressing-inequality-in-data-and-nurturing-new-talent/): Girls Into Coding is a social enterprise determined to improve the gender imbalance in the tech space, challenge stereotypes and engage with underprivileged girls to develop new skills. - [DataIQ Member’s Briefing – What ROI from data is the acceptable minimum?](https://www.dataiq.global/articles/dataiq-members-briefing-what-roi-from-data-is-the-acceptable-minimum/): At this month’s DataIQ roundtable, members discussed the ins and outs of return on investment when it comes to data usage. - [CDO Challenges – Nurturing a data culture](https://www.dataiq.global/articles/cdo-challenges-nurturing-a-data-culture/): Cultivating and evolving a data culture in an organisation is key to success and transitioning to a data-led business. This edition of CDO Challenges discusses how CDOs can kick-start data culture. - [Beyond the roundtable – CDOs and setting the vision](https://www.dataiq.global/articles/beyond-the-roundtable-cdos-and-setting-the-vision/): Beyond the Roundtable is an exclusive member only content series to continue the discussions from monthly DataIQ roundtables as there is always more to talk about at the end. - [DataIQ Members Meetup – March 2023](https://www.dataiq.global/articles/dataiq-members-meetup-march-2023/): The first quarterly DataIQ members meetup for 2023 took place in London and featured an insightful Q&A with IAG Cargo and Loyalty as well as peer-to-peer discussions. - [DataIQ members briefing – Is your CDO helping to set the vision?](https://www.dataiq.global/articles/dataiq-members-briefing-is-your-cdo-helping-to-set-the-vision/): Visions are an essential part of business development and improving the standing of a team within an organisation. DataIQ members discussed how much input is needed from the CDO to set the vision. - [Nine in ten companies lack data culture and organisation to facilitate growth](https://www.dataiq.global/articles/nine-in-ten-companies-lack-data-culture-and-organisation-to-facilitate-growth/): The implementation of digital tools has radically altered operational capabilities for businesses, but a data culture and organisational knowledge is needed to achieve peak growth. - [CDO Challenges – How to start aligning data strategy with business objectives](https://www.dataiq.global/articles/cdo-challenges-how-to-start-aligning-data-strategy-with-business-objectives/): This edition of CDO Challenges examines how CDOs can neatly connect the data strategy with wider business objectives. - [UK data protection laws – the Data Protection and Digital Information Bill](https://www.dataiq.global/articles/uk-data-protection-laws-the-data-protection-and-digital-information-bill/): Reforms to the Data Protection and Digital Information Bill aim to provide clarity for businesses and billions in savings. - [Data breach risks – Poor data management at six in ten financial institutions](https://www.dataiq.global/articles/data-breach-risks-poor-data-management-at-six-in-ten-financial-institutions/): More than half of senior executives have stated that their UK-based financial organisation risks data breaches due to poor data management. - [Join the free masterclass for the 2023 DataIQ Awards](https://www.dataiq.global/articles/join-the-free-masterclass-for-the-2023-dataiq-awards/): An online masterclass in writing award entries is being provided by DataIQ to assist the community in their journeys to win big at the DataIQ Awards gala ceremony later in the year. - [Women in data – more needs to be done for STEM equality](https://www.dataiq.global/articles/women-in-data-more-needs-to-be-done-for-stem-equality/): While the number of women in STEM fields is growing, the number of women in senior positions is half that of men, and the solution starts with education. - [CDO Challenges – How to become a data-driven business](https://www.dataiq.global/articles/cdo-challenges-how-to-become-a-data-driven-business/): CDOs are often faced with the task of making an organisation data driven. This issue of CDO Challenges will investigate how this can be done for a low-maturity business. - [Skills in demand – Finance data skills gap becoming a worrying normality](https://www.dataiq.global/articles/skills-in-demand-finance-data-skills-gap-becoming-a-worrying-normality/): Data knowledge in finance are highly sought after as the skills gap continues to grow compounding development and efficiency across the USA and UK. - [Collaborative data – USA data transfer pact rejected by EU lawmakers](https://www.dataiq.global/articles/collaborative-data-usa-data-transfer-pact-rejected-by-eu-lawmakers/): A new data transfer pact between the EU and US has been argued against by EU lawmakers because of concerns around adequate data protection. - [Energy efficiency is not being prioritised by data centres in the UK](https://www.dataiq.global/articles/energy-efficiency-is-not-being-prioritised-by-data-centres-in-the-uk/): With energy prices rising and environmental aspirations becoming more prominent, UK organisations with multiple servers are still unlikely to prioritise data centre energy efficiency. - [CDO Challenges – Improving data quality and data governance](https://www.dataiq.global/articles/cdo-challenges-improving-data-quality-and-data-governance/): This instalment of CDO Challenges examines addressing the issue of shadow IT within data offices and the wider organisation and how it can affect operations. - [ChatGPT – Do androids write of electric sheep or just what I tell them?](https://www.dataiq.global/articles/chatgpt-do-androids-write-of-electric-sheep-or-just-what-i-tell-them/): ChatGPT is the latest in AI text technology and its potential has huge ramifications for all areas of business – but can the concept benefit data specialists? - [DataIQ Member’s Briefing – Can we fix it? The problem with data quality](https://www.dataiq.global/articles/dataiq-members-briefing-can-we-fix-it-the-problem-with-data-quality/): DataIQ members agreed that quality is a must to become a mature and successful data organisation, but how can data quality issues be addressed? - [CDO Challenges – Shadow IT](https://www.dataiq.global/articles/cdo-challenges-shadow-it/): This instalment of CDO Challenges examines addressing the issue of shadow IT within data offices and the wider organisation and how it can affect operations. - [CDO Challenges – Keeping attention and interest in data developments](https://www.dataiq.global/articles/cdo-challenges-keeping-attention-and-interest-in-data-developments/): This edition of CDO Challenges looks at keeping attention and growing interest in the data team after battling to gain the attention of decision makers and stakeholders. - [Developing future talent – Anumana Code Academy](https://www.dataiq.global/articles/developing-future-talent-anumana-code-academy/): Data leaders are creating academies and programmes to reach young students to remove the barriers to entry for data careers and improve diversity in future talent pipelines. - [DataIQ Member’s briefing – How can data governance support data for good?](https://www.dataiq.global/articles/dataiq-members-briefing-how-can-data-governance-support-data-for-good/): At the most recent DataIQ roundtable, participants examined how their data governance can directly impact data for good and what it means to them. - [CDO Challenges – Budgets for data](https://www.dataiq.global/articles/cdo-challenges-budgets-for-data/): This edition of CDO Challenges looks at what a CDO should think about for a data office budget as business finances can be a topic that few data leaders are familiar with. - [Data literacy – Not adding up for finance](https://www.dataiq.global/articles/data-literacy-not-adding-up-for-finance/): New findings show that data literacy, a cornerstone of the DataIQ Way, will be the most sought-after skill for financial services by 2030 as confidence levels among staff slip. - [Corndel and Imperial College Business School – Developing data skills and talent](https://www.dataiq.global/articles/corndel-and-imperial-college-business-school-developing-data-skills-and-talent/): In response to unprecedented demand, Corndel has teamed up with Imperial College Business School to create professional apprenticeships that organisations can utilise to increase their capabilities in data management, leadership and technology. - [CDO Challenges – Translating data for non-speakers](https://www.dataiq.global/articles/cdo-challenges-translating-data-for-non-speakers/): There is a disconnect between the language of data professionals and those they need to communicate with for business progress. In this issue of CDO Challenges, we examine translating data into business-speak. - [Sustainability data – Building an ESG data framework and data platform](https://www.dataiq.global/articles/sustainability-data-building-an-esg-data-framework-and-data-platform/): There is a growing need for businesses to develop and expand their ESG frameworks and data platforms to measure operational sustainability. DataIQ spoke with Niresh Rajah from Grant Thornton about ESG for data. - [UK poised to become next AI and ML superpower](https://www.dataiq.global/articles/uk-poised-to-become-next-ai-and-ml-superpower/): The UK is surpassing European rivals when it comes to the use of artificial intelligence. This development is gearing the UK to become the next AI superpower across Europe and the wider world. - [DataIQ Member’s briefing – Should data go after moonshots or low-hanging fruit?](https://www.dataiq.global/articles/dataiq-members-briefing-should-data-go-after-moonshots-or-low-hanging-fruit/): On the day NASA launched Artemis with plans of establishing a permanent presence on the moon, DataIQ members discussed the pros and cons of aiming for moonshots or low-hanging fruit. - [CDO Challenges – Winning investment for data tech](https://www.dataiq.global/articles/cdo-challenges-winning-investment-for-data-tech/): This edition of CDO Challenges examines how CDOs can work with peers, teams and decision makers to win investment for data technology projects and enhancements. - [Businesses want to improve data capabilities, but data strategy confidence is declining](https://www.dataiq.global/articles/businesses-want-to-improve-data-capabilities-but-data-strategy-confidence-is-declining/): Confidence in data strategies appears to be declining in a time where businesses are seeking improved data capabilities to combat difficult trading climates – data literacy seems to be the answer. - [Do I have the right professional skills to thrive at the top level in my organisation?](https://www.dataiq.global/articles/do-i-have-the-right-professional-skills-to-thrive-at-the-top-level-in-my-organisation/): At the recent DataIQ members meetup, discussions centred around whether people felt they had the right skills to thrive in the organisation. Members looked at how some simple changes can make a big difference to self-perception and confidence. - [Hannah Lee – Zurich’s rising star](https://www.dataiq.global/articles/hannah-lee-zurichs-rising-star/): Hannah Lee, data scientist at Zurich Insurance, was the winner of the 2022 DataIQ Award for New talent or data apprentice. She joined DataIQ at a member’s event to describe her journey into the data industry and what it has taken to succeed early. - [CDO Challenges – Delivering a return on data investment](https://www.dataiq.global/articles/cdo-challenges-delivering-a-return-on-data-investment/): For a CDO, proving return on investment to a senior audience can be a daunting task and one that does not have an obvious starting point. In this edition of CDO Challenges, we will investigate methods of demonstrating ROI for data. - [UK data industry diversity and inclusion progress has lost momentum](https://www.dataiq.global/articles/uk-data-industry-diversity-and-inclusion-progress-has-lost-momentum/): A recent report indicates that the progress made around diversity and inclusion in the UK for the data industry has either stalled or receded. New findings show that wage gaps have grown, and diversity decreases with seniority. - [Only 1/5 of female students are looking at data professions](https://www.dataiq.global/articles/only-15-of-female-students-are-looking-at-data-professions/): The benefits of a diverse workforce have been proven time and again, but improvements must continue to be made as new data shows only one in five female students are looking at data careers. Alex Roberts finds out what can be done. - [CDO Challenges – What it takes to be a leader](https://www.dataiq.global/articles/cdo-challenges-what-it-takes-to-be-a-leader/): In this instalment of CDO Challenges, we examine what it takes for data professionals to become a leader in their organisation, focusing on skills and attitudes that are required to drive a business to new data heights. - [Why data has a better idea of how to run your business](https://www.dataiq.global/articles/why-data-has-a-better-idea-of-how-to-run-your-business/): If you could rebuild your organisation and its processes from the ground up with data and analytics at its heart, would you? For many organisations, it takes a crisis to tackle such a profound transformation. But as David Reed points out, this year’s Grand Prix winner, Jaguar Land Rover, is proof that courage has rewards. - [Why you should attend the Way of the 100](https://www.dataiq.global/articles/why-you-should-attend-the-way-of-the-100/): The DataIQ Way of the 100 is the premier conference for data professionals, bringing together the leading minds in the data industry to discuss key topics, present on new developments and network with peers. Make sure you and your colleagues attend to take part in exclusive roundtables and presentations where you can improve your organisation’s data journey. - [DataIQ Members briefing: Attracting, nurturing and retaining talent – tips from the DataIQ 100](https://www.dataiq.global/articles/dataiq-members-briefing-attracting-nurturing-and-retaining-talent-tips-from-the-dataiq-100/): Over a quarter (27%) of the DataIQ 100 2022 edition say that the demanding market for data skills and difficulties in finding talent are a significant issue for their data plans. A variety of approaches are being adopted to resolve the problem, ranging from recruiting out of non-traditional backgrounds to providing ongoing skills development. This briefing lays out the common points identified from an analysis of this year’s Q&As.  - [DataIQ Awards 2022 winner – The Professor Derek Holder lifetime achievement award: Helen Crooks](https://www.dataiq.global/articles/dataiq-awards-2022-winner-the-professor-derek-holder-lifetime-achievement-award-helen-crooks/): In a thirty-year career (and counting), Helen Crooks has worked client-side, vendor-side and for a regulator, with data running as the golden thread across every post she has held. - [CDO Challenges – Building data literacy across an organisation](https://www.dataiq.global/articles/cdo-challenges-building-data-literacy-across-an-organisation/): In this ongoing series, DataIQ examines the challenges faced by CDOs such as how data literacy can be built across an entire organisation. We will look at where CDOs can identify the starting points and the introductory steps that can be taken to create a foundation for business-wide success. - [5 reasons why data literacy is so hard to achieve](https://www.dataiq.global/articles/5-reasons-why-data-literacy-is-so-hard-to-achieve/): Just as owning a Ferrari does not make you a Formula One driver, so having built a centralised data asset does not make your organisation data literate. Plenty of obstacles get in the way of building out a shared culture and set of behaviours. David Reed identifies five typical challenges. - [DataIQ Member’s briefing – What do we do when bad data things happen to good data tech?](https://www.dataiq.global/articles/dataiq-members-briefing-what-do-we-do-when-bad-data-things-happen-to-good-data-tech/): Despite best efforts and forward planning, problems arise in all shapes, sizes and seriousnesses within data. So, what do we do when bad data things happen to good data tech? DataIQ members came together to explore past experiences, how they were handled and what can be learnt from them to help other data leaders prepare for potential problems in the future. - [AI regulation policy and the impact on organisations](https://www.dataiq.global/articles/ai-regulation-policy-and-the-impact-on-organisations/): Following the announcement of the latest government policy paper, "Establishing a pro-innovation approach to regulating AI", DataIQ’s Peter Galdies examines how these new policies may impact organisations and his thoughts on real-world issues that may arise for DataIQ members because of the new policies being announced. - [Should businesses decentralise data to keep evolving?](https://www.dataiq.global/articles/should-businesses-decentralise-data-to-keep-evolving/): It is widely accepted that for many business structures decentralisation is the way forward, but how far should a business decentralise to continue its evolution? In this article, DataIQ provides an overview of the three main decentralisation options and their pros and cons. - [DataIQ Member’s briefing – Is finance the next big skills area for data leaders?](https://www.dataiq.global/articles/dataiq-members-briefing-is-finance-the-next-big-skills-area-for-data-leaders/): Finances rule a huge part of business operations, so should data leaders consider finance skills the next big area of focus? There has been ongoing debate about how data teams can communicate with other departments and how this influences the value and standing of data. A group of DataIQ members explored the ways in which delving into finance skills could be the next way to improve businesses. - [More than just a number: Expressing the non-financial value of data](https://www.dataiq.global/articles/more-than-just-a-number-expressing-the-non-financial-value-of-data/): An ongoing struggle for those working in data and analytics has been communicating the value of data outside of common metrics such as financial implications. DataIQ member Ordnance Survey discusses highlighting real-world impacts of data and the use of storytelling to further legitimise the standing of data in an organisation and to improve a wider understanding outside of the data office. - [Levelling up data positions: Regional salary differences and remote working](https://www.dataiq.global/articles/levelling-up-data-positions-regional-salary-differences-and-remote-working/): In the UK, London has always been the centre for the highest paying positions followed by other major cities, but with the development of remote working capabilities this trend may not be true much longer. A recent report has shown that the gap between pay for similar data jobs across the UK has been decreasing rapidly. - [DataIQ Leaders briefing – How do we ensure data keeps its seat in the big conversations?](https://www.dataiq.global/articles/dataiq-leaders-briefing-how-do-we-ensure-data-keeps-its-seat-in-the-big-conversations/): How can data offices and data leaders maintain their position at the table for large organisational conversations? In recent years, data offices have worked hard to establish their value and legitimacy, so how can this continue now that data is a regular part of beard discussions? A recent DataIQ roundtable discussed the different ways that this can be achieved. - [DataIQ Leaders briefing – What gets HR onboard with the right role definitions for analysts?](https://www.dataiq.global/articles/dataiq-leaders-briefing-what-gets-hr-onboard-with-the-right-role-definitions-for-analysts/): The ongoing staffing difficulties for the data community requires collaboration with HR offices, but how can the data team ensure that HR is sourcing the best candidates for the job? A recent DataIQ roundtable examined the question "what gets HR onboard with the right role definitions for analysts?" and discussed ongoing issues facing data teams looking to retain staff and fill gaps. - [DataIQ Leaders briefing – Enhancing the status of data](https://www.dataiq.global/articles/dataiq-leaders-briefing-enhancing-the-status-of-data/): DataIQ members delved into the question "Do data platform projects enhance the status of data, or reinforce the perception that it is a technology function?" at a roundtable in April 2022. The conversation honed in on the ideas of business language and the importance of building a case to demonstrate value to enhance data’s status. - [Maintaining Possession: Examining the growth of data in football](https://www.dataiq.global/articles/maintaining-possession-examining-the-growth-of-data-in-football/): Data teams have been readily adopted in the corporate world, but the uptake of data offices in professional football has been slower. To take us through the developing world of football data, Luke Stopforth, head of data and technology at Brentford FC sat down with DataIQ to discuss the ways in which Brentford FC helped add momentum to the adoption of data offices, how data is being used at the highest levels of competitive football and the concerns surrounding ownership. - [Howzat? The data behind sport](https://www.dataiq.global/articles/howzat-the-data-behind-sport/): The variation in gameplay for cricket is diverse thanks to multiple competition formats and intricate data knowledge can make the difference for a test match lasting five days. To explain this in more detail, Hannah Jowitt, Disability and Pathway Analyst at the England & Wales Cricket Board, spoke with DataIQ to explore the changes in cricket data in recent years, where it looks set to go and how data is helping select the future stars of the sport. - [Reach for the stars: How The Telegraph is deploying editorial analytics](https://www.dataiq.global/articles/reach-for-the-stars-how-the-telegraph-is-deploying-editorial-analytics/): How is traditional print media adapting to the digital changes and demands of the modern reader? DataIQ sat down with Emma Wicks, head of editorial insight and analytics at The Telegraph, to discuss the evolving landscape for content, how journalism uses metrics and how a well-established business is keeping up with new platforms. - [Keep your eye on the ball: How data analysis is impacting football in Spain](https://www.dataiq.global/articles/keep-your-eye-on-the-ball-how-data-analysis-is-impacting-football-in-spain/): Football is the number one sport in the world, but how can it be improved for players, teams, fans and more? Rafael Zambrano, head of data science at LaLiga, spoke with DataIQ to explain where data and analytics were for Spain’s top flight football league and where it is set to go in the future. - [DataIQ 100 USA names Naras Eechambadi number 1, showcases American data leadership](https://www.dataiq.global/articles/dataiq-100-usa-names-naras-eechambadi-number-1-showcases-american-data-leadership/): Launch of the most influential 100 people in data working in the United States of America identifies high-flying chief data officers and chief analytics officers, with data leader of Universal Music Group heading the pack. - [Leaders Summit: Key points from our “talent in data” roundtable sessions](https://www.dataiq.global/articles/leaders-summit-key-points-from-our-talent-in-data-roundtable-sessions/): In February, the DataIQ Leaders community gathered in central London for the first Leaders Summit of 2022. Attendees participated in three roundtable sessions, centred on the topic of talent in the data office. In this piece we’ve highlighted some of the key arguments that emerged from those discussions. - [How the Data Science Campus is driving up data literacy in Whitehall](https://www.dataiq.global/articles/how-the-data-science-campus-is-driving-up-data-literacy-in-whitehall/): During the pandemic, data has underpinned policies that have placed unprecedented restrictions on our everyday lives. Naturally, this has brought a greater degree of public scrutiny to the application of data in government decision making. To that end, the Data Science Campus has been running a “data masterclass for senior leaders” course since late 2020 - with the aim of driving up data literacy in Whitehall. - [DataIQ Leaders briefing – Using value creation to support priority setting on data projects](https://www.dataiq.global/articles/dataiq-leaders-briefing-using-value-creation-to-support-priority-setting-on-data-projects/): At a DataIQ Leaders roundtable in February 2022, members discussed the best methods for using value creation to support priority setting on data projects. The conversation focused on the ruthless nature of prioritisation, the importance of collaboration and the need to collect evidence to support the process. - [Data for social purpose in the London Borough of Camden](https://www.dataiq.global/articles/data-for-social-purpose-in-the-london-borough-of-camden/): The London Borough of Camden’s CDIO Tariq Khan discusses the council’s data-driven pandemic response and its ambitious new data strategy. - [NHS England partners with Ada Lovelace Institute to combat AI bias in healthcare](https://www.dataiq.global/articles/nhs-england-partners-with-ada-lovelace-institute-to-combat-ai-bias-in-healthcare/): NHS England has announced plans to pilot an algorithmic impact assessment, designed by the Ada Lovelace Institute, to combat the potential risks associated with AI in healthcare. - [DataIQ Leaders briefing – Best practice for developing soft skills in your data office](https://www.dataiq.global/articles/dataiq-leaders-briefing-best-practice-for-developing-soft-skills-in-your-data-office/): At the first DataIQ Leaders roundtable of 2022, attendees discussed the best methods for developing soft skills within the business. The conversation centred on the importance of getting to grips with a business’s unique needs, best methods for tracking skills development, and the use that can be drawn from competency frameworks. - [Diversity, equity and inclusion to be celebrated at the 2022 DataIQ Awards](https://www.dataiq.global/articles/diversity-equity-and-inclusion-to-be-celebrated-at-the-2022-dataiq-awards/): Diversity, equity and inclusion (DEI) in the data industry is to be celebrated at the 2022 DataIQ Awards, the industry’s most prestigious awards ceremony, hosted in partnership with Rockborne. - [The GSK approach to driving up data literacy](https://www.dataiq.global/articles/the-gsk-approach-to-driving-up-data-literacy/): GSK’s Paul Sarjeant and Kelly Katerakis outline the story behind the establishment of GSK’s Data Academy - an organisation-wide initiative to drive up data literacy. - [Talent in data: Unilever’s approach to creating a gender balanced data office](https://www.dataiq.global/articles/talent-in-data-unilevers-approach-to-creating-a-gender-balanced-data-office/): A recent study by Harnham revealed that just under two-thirds of all new hires made in the UK data and analytics sector in the 18 months before September 2021 were male. Morgan Vawter, global VP of data at Unilever, outlines the organisation’s approach to overcoming gender inequality in the data office. - [DataIQ Leaders briefing – Three tips for driving up your organisation’s data literacy in 2022](https://www.dataiq.global/articles/dataiq-leaders-briefing-three-tips-for-driving-up-your-organisations-data-literacy-in-2022/): If organisations are going to survive, and thrive, in rapidly changing market conditions, it is vital that the workforce can understand, question and articulate data-driven insights. At two Leaders roundtables held in December 2021, attendees discussed their current challenges, plans and success stories with regards to data literacy and training initiatives. - [Talent in data: Retaining data talent in the hottest of hot markets](https://www.dataiq.global/articles/talent-in-data-retaining-talent-in-the-hottest-of-hot-markets/): The war for talent in data has never been more competitive. To find out how organisations are attempting to stand out from a packed crowd, DataIQ asked senior data leaders to share their talent retention challenges, philosophies and success stories. - [DataIQ Leaders briefing – Best practice for keeping your tech stack on point](https://www.dataiq.global/articles/dataiq-leaders-briefing-best-practice-for-keeping-your-tech-stack-on-point/): At a DataIQ Leaders roundtable in November 2021, members discussed how they are cultivating their tech stacks in the digital world. The conversation focused on the role of governance in scaling up, issues around the democratisation of technology and the relationship between technology and recruitment. - [DataIQ Leaders briefing – Creating a diverse and inclusive data office](https://www.dataiq.global/articles/creating-a-diverse-and-inclusive-data-office/): In the first of DataIQ’s "Leaders-led" roundtables, members discussed the importance of diversity and inclusion within their organisations, shared best practice examples and looked at how the data industry can come together to drive change. The roundtable was part one of DataIQ’s "Talent in Data" series - a stream of talent-focused activities and content focused on the evergreen issues of talent retention, career development and diversity within data. - [“It felt like going to war”: How ZOE built the Covid Symptom Study app](https://www.dataiq.global/articles/how-zoe-built-the-covid-symptom-study-app/): ZOE CEO Jonathan Wolf spoke with DataIQ about how the health science start-up adapted at pace to help tackle the most significant health crisis of the modern era. - [DataIQ Leaders briefing – How data can support customer-centric business strategies](https://www.dataiq.global/articles/how-data-can-support-customer-centric-business-strategies/): Since the outbreak of the pandemic, rapidly evolving market conditions have led organisations to adjust their strategies to be more consumer-oriented. However, customer-first doesn’t necessarily mean data-driven. At a DataIQ Leaders roundtable in October 2021, members discussed the best methods for aligning data and analytics with business stakeholders and their processes to reshape the customer relationship. - [AI in Formula E: Winning on the racetrack – and against climate change](https://www.dataiq.global/articles/ai-in-formula-e/): Formula E is defined by cutting-edge technology and fine margins. All participating vehicles are built on the same chassis and powered by the same battery. Uniformity of hardware means that teams rely on data and insight to gain strategic advantages. The Envision Virgin Racing Team has partnered with professional services firm Genpact to maximise its drivers’ chances on the track. - [DataIQ Leaders briefing – Developing the next generation of data leader](https://www.dataiq.global/articles/developing-the-next-generation-of-data-leader/): At a DataIQ Leaders roundtable in September 2021, members discussed the challenges they face when progressing the next generation of talent up the career ladder. - [Next slide please: How Covid made data literacy a public skill](https://www.dataiq.global/articles/next-slide-please-how-covid-made-data-literacy-a-public-skill/): A lack of knowledge can cost lives during a crisis. As the virus spread Government departments and public bodies had to quickly learn how to present data to the public - placing a renewed focus on data literacy. Data practitioners are hopeful that this focus will continue long after the pandemic passes into the rear view mirror. - [DataIQ Leaders briefing – Accelerating your organisation’s data maturity](https://www.dataiq.global/articles/accelerating-organisation-data-maturity/): At a DataIQ Leaders roundtable in August 2021, members from organisations at varying levels of data maturity discussed the best methods for cultivating a data-driven culture. - [How analysts are changing football](https://www.dataiq.global/articles/how-analysts-are-changing-football/): Data has played a role in football for decades, but in recent years its use has expanded rapidly. Football’s data analysts are working out how to encourage innovation within a world that remains built on tradition, ego and rivalry. - [DataIQ Leaders briefing – Embedding data into your corporate DNA](https://www.dataiq.global/articles/embedding-data-into-your-corporate-dna/): Most organisations have come to terms with the importance of data and analytics. However, without a defined strategic roadmap to facilitate the pivot towards data, transformations can be ineffective. At two DataIQ Leaders roundtables conducted in July 2021, members discussed the best methods for embedding data into their organisational structure. - [What divergence from GDPR means for data professionals](https://www.dataiq.global/articles/what-divergence-from-gdpr-means-for-data-professionals/): How Government plans to diverge from the General Data Protection Regulation could upset the delicate balance between consumers, business and the way data flows between the two. - [DataIQ Leaders briefing – Getting the most out of automating analytics](https://www.dataiq.global/articles/getting-the-most-out-of-automating-analytics/): Data teams are under increasing pressure to drive value within the business, which often means automating any repeat processes that can be mapped and standardised. This includes analytical processes. At a DataIQ Leaders roundtable in June 2021, members discussed the best methods for laying the foundations of a successful journey to automate analytics. - [Wondering how to respond to business disruption? Start with your chief data officer](https://www.dataiq.global/articles/wondering-how-to-respond-to-business-disruption-start-with-your-chief-data-officer/): Pursuing a digital transformation? Wondering how to respond to a rapidly-changing market and business environment? You need data skills and a good data leader, say Alan Jacobson of Alteryx. - [Why good data governance is central to building a successful modern business](https://www.dataiq.global/articles/why-good-data-governance-is-central-to-building-a-successful-modern-business/): Trusted data has become increasingly important to getting the best out of emerging technologies like AI, with competitive advantage depending on it. But climbing the AI ladder requires a positive focus on data governance. IBM’s Jay Limburn explains the steps it takes to reach the top. - [DataIQ Leaders briefing – Best practice for outsourcing](https://www.dataiq.global/articles/dataiq-leaders-briefing-best-practice-for-outsourcing/): Outsourcing can be effective and deliver a new solution rapidly. Or it can become challenging with scope creep and missed deadlines. It is almost certainly inevitable, even within data departments. A DataIQ Leaders roundtable considered the drivers of outsourcing and the critical success factors to look out for. David Reed reports. - [DataIQ Leaders briefing – From WFH to 3:2 and everything in between](https://www.dataiq.global/articles/dataiq-leaders-briefing-from-wfh-to-32-and-everything-in-between/): Has your organisation decided when it will fully re-open its offices and, if so, how often it expects workers to be there? It is one of the crucial questions being asked by companies, many of them having decided to downsize their physical space. A DataIQ Leaders roundtable discovered how Covid-19 had changed working practices and workspace for data departments. David Reed reports. - [DataIQ Leaders briefing – From data for good to data for purpose](https://www.dataiq.global/articles/dataiq-leaders-briefing-from-data-for-good-to-data-for-purpose/): Data for good is a popular term that connects the common desire to engage with big picture initiatives and the potential of data to have societal, environmental and economic impacts. But what D4G means can be very different from one organisation to another. This briefing draws on a DataIQ Leaders roundtable that surfaced some of the issues involved in embedding charitable activities alongside commercial ones. - [Data projects in 2020 – shopkeepers, speedboats and storms](https://www.dataiq.global/articles/data-projects-in-2020-shopkeepers-speedboats-and-storms/): Last year presented as many opportunities as challenges for DataIQ Leaders members, from delivering long dreamed-of data migrations to digital transformations and leading-edge innovation. During a roundtable in February 2021, two very different types of project were identified which have mutual benefits and dependencies. - [NHS England’s Ming Tang named most influential person in data in 2021](https://www.dataiq.global/articles/nhs-englands-ming-tang-named-most-influential-person-in-data-in-2021/): DataIQ has chosen Ming Tang, managing director of data and analytics at NHS England, as the most influential person in data and analytics in the 2021 edition of the DataIQ 100. In partnership with Tableau, it is the first and only fully-curated power list of the data industry’s key figures. - [3 ways DataOps can deliver business value this year](https://www.dataiq.global/articles/3-ways-dataops-can-deliver-business-value-this-year/): DataOps can help deliver insights faster, with higher quality and resilience in the face of constant change. But there is a lot of confusion about what DataOps really means. Ted Friedman of Gartner outlines three value propositions that make sense of this approach. - [Guide Dogs for the Blind: Side-by-side with digital and data](https://www.dataiq.global/articles/guide-dogs-for-the-blind-side-by-side-with-digital-and-data/): Guide Dogs for the Blind recently went through a wide-reaching digital transformation, building its data and digital capabilities to support to those living with visual impairment better. CIO Gerard McGovern and Caroline Carruthers, CEO of Carruthers and Jackson and lead data consultant on the project, spoke to DataIQ about the goals and opportunities for the programme. - [Bloomberg’s best practice for data annotation](https://www.dataiq.global/articles/bloombergs-best-practice-for-data-annotation/): Bloomberg processes hundreds of billions of pieces of data from the global capital markets every day. To make it available for automated analytics, it first needs to be annotated. The experience it has built up from doing this has been pulled into a best practice guide to help other machine learning projects. Legal analyst Tina Tseng talked to DataIQ about this critical step in preparing structured and unstructured data. - [DataIQ Leaders briefing – Talent management in a time of crisis](https://www.dataiq.global/articles/dataiq-leaders-briefing-talent-management-in-a-time-of-crisis/): The start of the academic year each Autumn is usually a critical juncture for employers. Data and analytics departments have recently joined in this milk round activity, but with many universities putting the entire 2020/21 academic year onto a virtual footing with remote tuition, the usual pathways for recruitment appear blocked. A roundtable held in October 2020 explored whether conventional approaches to building talent at the top of the funnel are still relevant in the circumstances - [DataIQ Leaders briefing – “Are we earning our place at the table?”](https://www.dataiq.global/articles/dataiq-leaders-briefing-are-we-earning-our-place-at-the-table/): One of the longest-running discussions around data is exactly how to value the contribution it makes to a business. Hard metrics can be difficult to define and put in place, as a recent DataIQ Leaders roundtable revealed. This briefing note considers some of the ways in which members are trying to prove the return on investment they deliver - [When data management meets crisis management](https://www.dataiq.global/articles/when-data-management-meets-crisis-management/): As businesses deal with the consequences of the global pandemic, disrupted data strategies are the reality for many leaders. Instead of supporting growth, many have had to plan cutbacks or even the wholesale closure of a business. James Miller reflects on his own experience of emergency planning. - [Start here: Now implement your data strategy](https://www.dataiq.global/articles/start-here-now-implement-your-data-strategy/): Getting your data strategy signed-off by the organisation is a great moment. But it is not the end of the task - it is actually where the work really begins. Lisa Allen of DAMA (UK) identifies the critical steps you need to take next. - [Walking the tightrope: 5 tips for writing a data strategy](https://www.dataiq.global/articles/walking-the-tightrope-5-tips-for-writing-a-data-strategy/): How do you write a data strategy that will guide your organisation on the long journey towards a thriving data culture? Deborah Yates of DAMA UK offers five tips that can help you find the right balance. - [Mutual Friends: Aligning business strategy and data strategy](https://www.dataiq.global/articles/mutual-friends-aligning-business-strategy-and-data-strategy/): Pursuing a digital transformation or becoming a data-driven business ought to mean placing the data strategy at the heart of the business strategy. That doesn’t always happen, which is why Nigel Turner suggests some ways to make sure business and data become better friends. - [Recognising the business benefits of winning an award](https://www.dataiq.global/articles/recognising-the-business-benefits-of-winning-an-award/): Crafting an award entry takes time, effort and then there are any costs associated, too. So is it really worth it? For past winners of the DataIQ Awards, it is a resounding yes. - [Data storytelling is critical to getting the Covid-19 message across](https://www.dataiq.global/articles/data-storytelling-is-critical-to-getting-the-covid-19-message-across/): How do you communicate a complex idea like an epidemic curve to people with minimal understanding of data? Alan D. Duncan of Gartner says the key is to use story telling techniques that make the subject engaging and emotional. - [4 steps that establish a data-driven company culture](https://www.dataiq.global/articles/4-steps-that-establish-a-data-driven-company-culture/): It’s more important than ever for companies to be able to make decisions based on data. But creating a data-driven culture isn’t simple. Zara Hawkins, data culture evangelist, Looker offers four suggestions for what to do to get it started. - [Four principles to balance personalisation and data protection](https://www.dataiq.global/articles/four-principles-to-balance-personalisation-and-data-protection/): Talk of contact tracing apps to tackle COVID-19 serves to highlight the difficult balance between using data to personalise services and robust data protection. Whether your organisation is involved in building these solutions or not, Craig Suckling of IAG Loyalty suggests there are four principles to keep you on the right side of your customers. - [Seven steps to building an analytics community](https://www.dataiq.global/articles/seven-steps-to-building-an-analytics-community/): Building a successful and lasting analytics community takes time and effort. Liz Matthews of Mango Solutions looks at some useful steps that organisations can take to establish and maintain a thriving collaborative approach. - [DataIQ Leaders briefing – Data integration: How to avoid being blocked by technology](https://www.dataiq.global/articles/dataiq-leaders-briefing-data-integration-how-to-avoid-being-blocked-by-technology/): According to recent research carried out by DataIQ, around two-thirds of organisations (63.6%) are pursuing customer data integration as part of their digital transformation. Yet only one in ten (10.2%) have achieved this nirvana. This whitepaper considers the challenges of enterprise-wide data integration across the data estate. - [Why building an analytics community is key to data-driven transformation](https://www.dataiq.global/articles/why-building-an-analytics-community-is-key-to-data-driven-transformation/): Your organisation needs analysts and data scientists to thrive. They need a community to thrive. Liz Matthews of Mango Solutions explores why enabling them to network and share is critical to a successful practice. - [DataIQ Leaders briefing – Maintaining momentum in mature data and analytics functions](https://www.dataiq.global/articles/dataiq-leaders-briefing-maintaining-momentum-in-mature-data-and-analytics-functions/): Momentum is an important aspect of the task facing any chief data officer (CDO) or chief analytics officer (CAO) as they embed this function into their organisation. But if the data office and analytics function has been slow in bringing significant benefits and transformation to the organisation, it can face deep challenges from the business. This white paper looks at some of the root causes and how to address them. - [Lyndsay Weir – Keeping quiet as a female leader](https://www.dataiq.global/articles/lyndsay-weir-keeping-quiet-as-a-female-leader/): Lyndsay Weir is global data and analytics manager at Nestlé. At the Women in Data conference in November, she was named as one of the new list of female industry role models, the 20 in Data and Tech. She told DataIQ how being a female leader and role model can be done in a quiet way. - [Data champions are the backbone of data culture](https://www.dataiq.global/articles/data-champions-are-the-backbone-of-data-culture/): For data-driven organisations, some of your most high-potential employees are those with strong data skills and a desire to share them with others. James Eiloart of Tableau explains how to identify and manage these data champions - [Business decisions based less on trust and more on truth](https://www.dataiq.global/articles/business-decisions-based-less-on-trust-and-more-on-truth/): Dun & Bradstreet, a business information data company that provides business credit reports, has over 330 million business records on its Data Cloud. Andy Crisp tells Toni Sekinah about his observation having completed 20 years in at Dun & Bradstreet and what it means to ‘own’ data at the company. - [DataIQ Leaders briefing – 7 tips for building the talent funnel](https://www.dataiq.global/articles/dataiq-leaders-briefing-7-tips-for-building-the-talent-funnel/): If you are the manager or leader of a data and analytics function, then chances are you spend a lot of your time looking at CVs. Either to grow the size of your teams or to replace practitioners who have left, the reality of recruitment in this space is of constant activity and a challenging environment. This whitepaper summarises tactics that were shared at a recent DataIQ Leaders breakfast briefing. - [Assess biased algorithms with an ethical matrix](https://www.dataiq.global/articles/assess-biased-algorithms-with-an-ethical-matrix/): Cathy O’Neil is the author of the seminal book Weapons of Math Destruction, a book detailing how algorithms can deliver and amplify negative outcomes to the most vulnerable people in society. In a presentation at Teradata Universe, she talked about the concept of an ethical matrix and how these could objectively assess the positive and negative impact of algorithms on their stakeholders. - [Siemens and Anthony Nolan getting the most from analytics](https://www.dataiq.global/articles/siemens-and-anthony-nolan-getting-the-most-from-analytics/): Electronics giant Siemens and blood cancer charity Anthony Nolan are both improving their data practices with a self-service analytics platform. Toni Sekinah hears from Jon Cajacob and Franky Stephenson who say that self-serve analytics is making their organisations more efficient and more productive, and the charity data is no longer in a ’shack’. - [Boomi and Diana integrating the data of digital fashion](https://www.dataiq.global/articles/boomi-and-diana-integrating-the-data-of-digital-fashion/): Data integration platforms collect, sort and transform data so it can be used for other business needs within an organisation. Valentino Baraldo of Diana Ecommerce Corporation and Mike Kiersey of Boomi told Toni Sekinah what benefits Diana gets from using integration platform Boomi and the other capabilities it has. - [Teradata’s Reema Poddar on taking risks and learning](https://www.dataiq.global/articles/teradatas-reema-poddar-on-taking-risks-and-learning/): Reema Poddar of Teradata heads up the company’s technology and innovation office and looks after the information security. She tells Toni Sekinah about the women she admired in the technology and business worlds, what she does to make sure the customer comes first and how she encourages diversity in her organisation. - [Teradata keeps sports entertainment company happy](https://www.dataiq.global/articles/teradata-keeps-sports-entertainment-company-happy/): Dustin Spangler of Larry H Miller Sports and Entertainment has a huge variety of data to deal with as sports teams, a cycle race and a cinema chain, to name a few, fall under his company’s umbrella. He tells Toni Sekinah the challenges that he and his team face when dealing with that variety of data and how they went about choosing a cloud platform. - [DataIQ Leaders briefing: Measuring the impact of data science](https://www.dataiq.global/articles/dataiq-leaders-briefing-measuring-the-impact-of-data-science/): Metrics are at the heart of a well-performing data science function and need to be clear to both practitioners and leaders. But they are also difficult to define and not every project can be easily measured. This white paper considers how to go about establishing effective metrics drawing on the experiences of DataIQ Leaders members. - [Women in Data – more pay, more balance, more to do](https://www.dataiq.global/articles/women-in-data-more-pay-more-balance-more-to-do/): Since launching in 2015, Women in Data has seen its community and conference audiences grow significantly. On the eve of the fifth event, its co-founders told David Reed why, despite an active and growing cohort of female data practitioners, there is still such a long way to go - and therefore a need for the network. - [Pets at Home top dog for customer and CRM success](https://www.dataiq.global/articles/pets-at-home-top-dog-for-customer-and-crm-success/): Pet owners superstore Pets at Home took home the prize for Customer/CRM Success at the DataIQ Awards this summer. It displayed impressive numbers related to customer retention and brand loyalty. Matt Lawrenson and Andy Wood of Pets at Home’s marketing agency Go Inspire told Toni Sekinah what other companies can do to set up a successful loyalty programme. - [DataIQ Leaders briefing – Is the CDO still aiming for the board?](https://www.dataiq.global/articles/dataiq-leaders-briefing-is-the-cdo-still-aiming-for-the-board/): Two years ago, it was predicted that nine out of ten organisations would have a board-level CDO by now. The reality is more like one in ten. But that is not just due to a slowdown in hiring - CDOs themselves may not want to reach the C-suite. Following a DataIQ Leaders dinner discussion, this briefing considers the reasons and also why CDOs really do not like CIOs. - [MotoGP: How Ducati goes racing with data (and beyond)](https://www.dataiq.global/articles/motogp-how-ducati-goes-racing-with-data-and-beyond/): At the UK MotoGP at Silverstone over the August bank holiday weekend, I was fortunate to be invited to meet the Ducati team and its technology partner NetApp to find out just how important data and soft skills are at the pinnacle of motorcycle racing. - [Seven health data hubs to be set up across the UK](https://www.dataiq.global/articles/seven-health-data-hubs-to-be-set-up-across-the-uk/): Seven health data hubs are to be set up across the UK to speed up research for new medicines, treatments, and technologies that support quicker diagnoses and save lives. Toni Sekinah hears from Amanda White, of Health Data Research UK to find out more. - [Managing the data running through Asics](https://www.dataiq.global/articles/managing-the-data-running-through-asics/): Chris Drouin of Asics Digital deals with consumer analytics and insights, machine learning models and data-driven solutions. He spoke to Toni Sekinah about the dream at Asics, a sports brand specialising in running shoes, of a single customer view as well as the benefit of moving to a cloud-based data warehouse. - [Trust and empowerment alive and well at Aviva’s customer data science department](https://www.dataiq.global/articles/trust-and-empowerment-alive-and-well-at-avivas-data-science-department/): Aviva walked away with the gong for the Best Place to Work in Data (Data Titan) at the DataIQ Awards. Tom Spencer of Aviva speaks to Toni Sekinah about how he has created a positive and encouraging working environment and what other data and analytics workplaces could do to follow suit. - [Don’t let data clichés hold back progress](https://www.dataiq.global/articles/dont-let-data-cliches-hold-back-progress/): It’s easy to launch a new cliché into this industry - just put the word data in front of anything you can think of. Andy Cotgreave argues that despite the swarms of buzzwords, there really are useful new tools and data visualisation techniques lurking underneath. - [Why data has a better idea](https://www.dataiq.global/articles/why-data-has-a-better-idea/): Data has a better idea. This was the key message from Lorenzo Bavasso of Three who gave an insightful presentation at the DataIQ Summit. Toni Sekinah reports. - [Data visualisation – What’s Bauhaus got to do with it?](https://www.dataiq.global/articles/data-visualisation-whats-bauhaus-got-to-do-with-it/): The Bauhaus art school was founded 100 years ago this year. The global design movement initiated by the school’s foundation changed architecture and interior design forever. Has it also influenced the field of data visualisation and communication? Tableau’s Andy Cotgreave considers. - [DataIQ Leaders briefing – Squads and tribes](https://www.dataiq.global/articles/dataiq-leaders-briefing-squads-and-tribes/): For data and analytics functions adopting agile as their way of working, a structure is also required for the people management dimension. Squads and tribes is an approach pioneered by Spotify in 2012 that is starting to transfer into this sector. This white paper explains the concept and how individuals fit into it. - [DataIQ Leaders briefing – Managing agile analytics](https://www.dataiq.global/articles/dataiq-leaders-briefing-managing-agile-analytics/): Agile analytics is gaining traction as a way of working. Its appeal is the ability to flex resources, responding to both short deadlines and long-term development projects, while providing practitioners with a good mix of challenges. For managers, it requires a different approach from conventional analytics. This white paper considers some of the key things to consider when adopting agile in the data and analytics function. - [DataIQ Leaders CARBON™ guidance – Issues with digital transformations](https://www.dataiq.global/articles/dataiq-leaders-carbon-guidance-issues-with-digital-transformations/): Digital transformations are en vogue among business leaders, yet many fail to achieve their goals. Five gaps typical open up between the vision and the reality. This white paper identifies them and the reasons why they occur. - [DataIQ Leaders briefing – 5 ways to keep data at the heart of digital transformations](https://www.dataiq.global/articles/dataiq-leaders-briefing-5-ways-to-keep-data-at-the-heart-of-digital-transformations-2/): A common experience for data practitioners when their organisation adopts a new digital-first strategy is that it often lands without a data strategy attached. This briefing note suggests five ways to avoid this happening and to make sure data is seen as integral to digital transformations, based on conversations with DataIQ Leaders and DataIQ 100 members. - [DataIQ Leaders briefing – Are data engineers in the new skills demand hot spot?](https://www.dataiq.global/articles/dataiq-leaders-briefing-are-data-engineers-in-the-new-skills-demand-hot-spot/): Data engineers are the new in-demand skilled workers as organisation seek to integrate multiple data sources or move to new data platforms. This whitepaper considers the challenges of recruiting in a limited talent field and what skills this role really requires, based on a recent DataIQ Leaders roundtable. - [How Gymshark is on form with data exploration](https://www.dataiq.global/articles/how-gymshark-is-on-form-with-data-exploration/): Gymshark is a gym wear brand sold exclusively online through its website and a network of affiliate partners. Toni Sekinah hears from Alex Gray and Samantha Robbins about how they analyse the data generated by this network and through this way of selling. - [Why does the history of data visualisation matter?](https://www.dataiq.global/articles/why-does-the-history-of-data-visualisation-matter/): Data analysts may feel their struggle to make data comprehensible through great visualisation are dealing with a 21st Century problem. But as Tableau’s Andy Cotgreave explains, it is a problem with a 250-year history that’s well worth understanding. - [Using intelligence to tell the story of analytics](https://www.dataiq.global/articles/using-intelligence-to-tell-the-story-of-analytics/): Suki Fuller is an analytical storyteller with a background in intelligence. She tells Toni Sekinah what her job entails and how her unconventional education and career path led her to this role. - [Laddering up to AI: Is your business ready?](https://www.dataiq.global/articles/laddering-up-to-ai-is-your-business-ready/): AI is being adopted rapidly as organisations try to future-proof their business. But in the headlong rush to automate, are there risks in not getting the data basics sorted first? Can a more measured approach deliver better outcomes? Robert Goodwin of Wunderman considers. - [DataIQ Leaders primer – Data and analytics apprenticeships](https://www.dataiq.global/articles/dataiq-leaders-primer-data-and-analytics-apprenticeships/): Apprenticeships are an alternative route through higher education, but they are not well known or adopted within the data and analytics sector. This primer explains the basic principles of the scheme and the current options, as well as a few issues that have yet to be resolved. - [DataIQ Leaders briefing – Managing expectations and priorities of the analytics function](https://www.dataiq.global/articles/dataiq-leaders-briefing-managing-expectations-and-priorities-of-the-analytics-function/): In the early stages of maturity, analytics functions tend to operate in a highly-reactive state with little in the way of prioritisation of those incoming tasks. This creates a false expectation among stakeholders and stops the analytics function from progressing up the maturity curve to become proactive. This briefing paper outlines some key steps to avoid this trap. - [DataIQ Leaders briefing – Data value and data ethics](https://www.dataiq.global/articles/dataiq-leaders-briefing-data-value-and-data-ethics/): Under the accounting standards developed for intangible assets, data suffers from a highly-reductive approach which does not realise the level of value most organisations believed their data was really worth. So are new approaches possible? And what impact will data ethics have on data value? This briefing provides and overview of the issue. - [DataIQ Leaders briefing – Six habits of effective analytics leaders](https://www.dataiq.global/articles/dataiq-leaders-briefing-six-habits-of-effective-analytics-leaders/): Many organisations have set out a vision for their use of data and analytics. Often, the emphasis is on the tooling and hard skills required, rather than the behaviours and culture involved. This briefing paper considers six key aspects of soft skills that any senior manager of analytics leader needs to consider to deliver the vision. - [Ensuring high quality data processes in insurance](https://www.dataiq.global/articles/ensuring-high-quality-data-processes-in-insurance/): Zurich Insurance went through a transformation to simplify its data processes, and was recognised with a DataIQ Transformation with Data award. Toni Sekinah speaks to Anita Fernqvist who led the turnaround. - [Oliver Smith – Telefónica’s healthcare moonshot and dreaming big](https://www.dataiq.global/articles/oliver-smith-telefonicas-healthcare-moonshot-and-dreaming-big/): Oliver Smith is leading a far-reaching innovation programme at Telefónica as part of a “health moonshot” to change lifestyles and reduce chronic illnesses. Ahead of his speech at Data Summit, he told DataIQ how they plan to get there. - [DataIQ Leaders briefing: Four Steps towards creating communities of practice](https://www.dataiq.global/articles/dataiq-leaders-briefing-four-steps-towards-creating-communities-of-practice/): Many organisations have data and analytics practitioners, often delivering against local requirements and from dispersed team or functions. To transform the impact they can have enterprise-wide, a level of momentum and critical mass needs to be created. One option is to build communities of practice. This whitepaper considers how to go about setting up a CoP. - [Effective strategies for customer data maturity revealed – New study](https://www.dataiq.global/articles/effective-strategies-for-customer-data-maturity-revealed-new-study/): With data being hailed as the fuel for the fourth industrial revolution, it’s no surprise to see new research emerging tying data maturity to business success. But what are the key ingredients for data maturity? And what are the key benefits? A new study has the answers. - [Fines for data breaches should be more than monetary](https://www.dataiq.global/articles/fines-for-data-breaches-should-be-more-than-monetary/): Are fines fine and dandy for companies that don’t secure our data? Should we make them pay in another way? Toni Sekinah wonders if there is a way to hit them where it really hurts. - [How studying politics led to a career in data](https://www.dataiq.global/articles/how-studying-politics-led-to-a-career-in-data/): Many of the people who work in data have a background in STEM subjects but equally the study of arts and humanities can form a strong basis for a career in analytics. Tess Merkulova tells Toni Sekinah why it is important to her as a data professional to pay very close attention to detail, and what are the similarities between data and comparative politics, which she studied to degree level. - [SilkFred cottons on to self-service data](https://www.dataiq.global/articles/silkfred-cottons-on-to-self-service-data/): Online fashion platform SilkFred was set up in 2012 to help bring together smaller independent brands and fashionistas looking for an alternative to the offerings on the high street. Co-founder and CEO Emma Watkinson explained that she and her st... - [Strava gets a PB with cloud-based data warehouse](https://www.dataiq.global/articles/strava-gets-a-pb-with-cloud-based-data-warehouse/): Social networks are renowned for the amount of data they amass, and sports social networks like Strava are no different. Strava's data function was buckling under the weight of its own popularity, having recently passed the milestone of two billi... - [How studying big cats led to analysing big data](https://www.dataiq.global/articles/how-studying-big-cats-led-analysing-big-data/): Elizabeth Moorcroft, a senior data scientist at Aviva, is working in the customer service team as part of the insurance company’s global data science practice, Quantum. Her daily tasks depend on the stage of the project she is working on at the ti... - [Crunching data to map the Milky Way](https://www.dataiq.global/articles/crunching-data-map-milky-way/): The mission of the European Space Agency (ESA) is to explore the universe and it has a fleet of 10 craft out in space to do so. The Gaia space mission began in 1993 and the actual spacecraft was launched in 2013. Its aim is to create a precise 3D ... - [Getting the National Express bus network on board with data](https://www.dataiq.global/articles/getting-national-express-bus-network-board-data/): Most Brits would think of intercity coach travel or airport transfers when the brand National Express comes to mind. So many may not know that two thirds of its journeys are carried out by third party providers. “All the vehicles are the sa... - [A data leader’s tips to owning your achievements](https://www.dataiq.global/articles/data-leaders-tips-owning-your-achievements/): Natalie Jakomis, as the group head of data at GoCompare, is responsible for data engineering, data intelligence and data science. She is also charged with getting every part of the business to be more effective with data “so that data becomes part... - [How sharing public sector data can solve societal problems](https://www.dataiq.global/articles/how-sharing-public-sector-data-can-solve-societal-problems/): Lee Howell, currently seconded to Avon and Somerset Constabulary as chief fire officer, is committed to taking the benefits and learnings from working with data into the real world to solve strategic problems, and he thinks the key to this is shar... - [DataIQ Leaders briefing – Is data management an IT-managed or standalone function?](https://www.dataiq.global/articles/dataiq-leaders-briefing-is-data-management-an-it-managed-or-standalone-function/): Is data management turning into IT, given the extent of the supporting technology required by the data and analytics function? With new tools constantly being launched, this whitepaper, based on a DataIQ Leaders discussion, considers key decision points in where to site this function and what its true purpose should be. - [DataIQ Leaders briefing – The 4 habits of effective analytics teams](https://www.dataiq.global/articles/dataiq-leaders-briefing-the-4-habits-of-effective-analytics-teams/): Based on conversations with more than 70 data and analytics practitioners drawn from 27 different organisations, this briefing identifies four habits which can ensure that the analytics team and its leader engage and deliver to the business effectively. - [Adopting agile analytics](https://www.dataiq.global/articles/carbon-guidance-adopting-agile-analytics/): Agile has been gaining favour as a methodology outside of its birthplace of software development. Data and analtyics are the latest functions to adopt this working practice. This guidance explains how to transfer the methods successfully. - [Why is Leeds such a hub for data activity?](https://www.dataiq.global/articles/why-leeds-such-hub-data-activity/): Leeds, the Yorkshire town of almost 800,000 people, has developed into a hub of data activity. It is home to ODI Leeds, the Data City as well as several commercial enterprises that are fuelled by data, such as TransUnion. It is also the location o... - [DataIQ Leaders briefing: Making the business case for data and analytics](https://www.dataiq.global/articles/dataiq-leaders-briefing-making-the-business-case-for-data-and-analytics/): Data and analytics needs to compete for investment funds against all other departments in the organisation. So what are the compelling bases for the argument that will help it to win? This whitepaper synthesises thoughts from a DataIQ Leaders dinner discussion on the subject. - [Data skills gap is exaggerated, say public sector data leaders](https://www.dataiq.global/articles/data-skills-gap-exaggerated-say-public-sector-data-leaders/): “There is a massive war for talent because everyone wants the best.” So said Kevin Fletcher, head of data at Her Majesty’s Revenue and Customs, acknowledging the heated competition among organisations that want to hire data professionals with the ... - [Yes, Women in Data is still very necessary](https://www.dataiq.global/articles/yes-women-data-still-very-necessary/): Check your privilege, mate. That is the very minimum that should be said to the man who aggressively challenged one of the founders of Women in Data during Big Data Ldn. Picking a verbal fight over the rights or wrongs of perceived positive discri... - [DataIQ Leaders briefing: Automation makes its mark](https://www.dataiq.global/articles/dataiq-leaders-briefing-automation-makes-its-mark/): Just under half of UK organisations are already using automation in some form, with the rest still delaying adoption out of concerns about skills, resources and outcomes. This whitepaper reports on the experiences of DataIQ Leaders members that were shared at a recent roundtable event. - [Hacking data to find missing people and top talent](https://www.dataiq.global/articles/hacking-data-find-missing-people-and-top-talent/): At the end of May, 22 data enthusiasts turned up at a building in the vicinity of Royal Mail’s iconic Mount Pleasant sorting office in central London for a charity hackathon. Not only did this event have a philanthropic goal, but it brough... - [DataIQ Leaders briefing – Should the data industry have a professional institute?](https://www.dataiq.global/articles/dataiq-leaders-briefing-should-the-data-industry-have-a-professional-institute/): Professions have institutes to accredit members and certificate their knowledge. Data practitioners have no such professional body. Does this obvious gap present an opportunity and, if so, how should it be tackled? This article considers the issues considered during a DataIQ Leaders breakfast briefing on the subject. - [DataIQ Leaders briefing – Economists square up to data to find a formula for its value](https://www.dataiq.global/articles/dataiq-leaders-briefing-economists-square-up-to-data-to-find-a-formula-for-its-value/): Putting a valuation on data as an asset has proven to be a cul de sac for most organisations. Yet governments are growing increasingly interested in how to extract more value from digital platforms through taxation. Which is why a growing number of economists are looking at new models for the value in data. This briefing explains their line of thought. - [Why Fry would say IA instead of AI](https://www.dataiq.global/articles/why-fry-would-say-ia-instead-ai/): As part of a tour to promote her new book, Dr Hannah Fry took part in a discussion at the Royal Society of Arts last week. Some of the opinions she expressed included; why we don’t have to ... - [Recruitment practices: Hiring from within](https://www.dataiq.global/articles/carbon-guidance-recruitment-practices-hiring-from-within/): Recrutiing the data and analytics talent you need is a perpetual challenge, which is why looking at all possible sources makes sense. Within your organisation there may be a ready-to-go, untapped pool of skilled workers with the right understanding of your business. This whitepaper considers the pros and cons of hiring internally. - [Myth-busting the dangers of a “big data algocracy”](https://www.dataiq.global/articles/myth-busting-dangers-big-data-algocracy/): Alongside faster, more efficient vehicles, the accelerated pace of progress in the automotive industry has resulted in more data than ever before. Connected cars, which are equipped with internet access, allow vehicles to collect data and share in... - [Just 1% of businesses are fully data-centric says report](https://www.dataiq.global/articles/just-1-businesses-are-fully-data-centric-says-report/): Only 1% of decision makers say their organisations are fully data-driven. Furthermore, 40% stated their company is between a quarter and halfway along that transformation journey from focusing on business intelligence to data and analytics. This i... - [Camden Council and the benefits of opening data](https://www.dataiq.global/articles/camden-council-and-benefits-opening-data/): Sudip Trivedi is the head of data and analytics, and connectivity business partner at Camden Council. Central to his role is improving the quality of data within the borough and allowing more people to access that data. Trivedi came to the ... - [Understanding how human capital impacts on transformations](https://www.dataiq.global/articles/carbon-guidance-understanding-how-human-capital-impacts-on-transformations/): Transformations are a constant aspect of business management and data and analytics are both agents and enablers of them. Yet even the best-planned change programme can stall or fail. Underlying these issues, however, there are predictable patterns and reasons why problems emerge. This whitepaper looks at how human capital is often at fault. - [DataIQ Leaders Discussion: Do you need humanities as much as science?](https://www.dataiq.global/articles/dataiq-leaders-discussion-do-you-need-humanities-as-much-as-science/): With so much emphasis being placed on recruiting candidates from science, technology, engineering and maths backgrounds, it can seem as if STEM is the only skills set that should be considered. But given the importance of soft skills, such as communication and team working, to the success of a data and analytics function, this whitepaper considers where humanities could play a part. - [Machine learning – focusing on code misses the big picture](https://www.dataiq.global/articles/machine-learning-focusing-code-misses-big-picture/): According to Rangarajan Vasudevan, CEO of data strategy company The Data Team, machine learning has received an extensive amount of hype and media coverage in recent times. However, he feels it is important to point out that machine learning syste... - [Marks and Spencer to train staff in data skills](https://www.dataiq.global/articles/marks-and-spencer-train-staff-data-skills/): Marks and Spencer is to train over 1,000 employees in digital skills through a partnership with digital skills training organisation Decoded, with the aim of creating the world’s first data academy in a retail organisation. It also reflects th... - [“No ivory towers” found on OS map for data knowledge sharing](https://www.dataiq.global/articles/no-ivory-towers-found-os-map-data-knowledge-sharing/): According to Caroline Bellamy, there is a lot to be gained from having a data centre of excellence within an organisation. But she has a problem with the name and behaviour it encourages. Bellamy is the first chief data officer at ... - [Reading data right – the case for data literacy](https://www.dataiq.global/articles/reading-data-right-case-data-literacy/): “This illustrates the need for greater data literacy globally - consumers should be able to understand data not as an abstract concept, but as something that relates to their lives and the decisions they make every day.” These were the words of Dr... - [Get data skills up to standard with ‘aristocrats’ leading the way](https://www.dataiq.global/articles/get-data-skills-standard-aristocrats-leading-way/): According to a new report, there are four types of people when it comes to understanding of and willingness to work with data. The most skilled people in terms of ‘data literacy’ are data aristocrats. The data aristocrat has a high aptitude for un... - [Turning the data and analytics function into a trusted advisor](https://www.dataiq.global/articles/carbon-guidance-turning-the-data-and-analytics-function-into-a-trusted-advisor/): The most advanced level of CARBON maturity sees the majority of senior management decisions being made on a stable base of trusted analytics with an ongoing feedback loop. This is by no means easy to achieve, however. This guidance looks at what builds trusted advisor status and the specific implications for data and analytics practitioners. - [Leaders discussion: Mental models of an effective analytics team](https://www.dataiq.global/articles/leaders-discussion-mental-models-of-an-effective-analytics-team/): Team dynamics have a big impact on the effectiveness of the analytics function. Selecting the right candidates and understanding existing practitioners can be a worthwhile exercise for an analytics leader. This article looks at three psychological models that have gained traction in this discipline. - [DataIQ Leaders briefing: CDO v CIO – the battle for the boardroom](https://www.dataiq.global/articles/dataiq-leaders-briefing-cdo-v-cio-the-battle-for-the-boardroom/): DataIQ Leaders advocates the presence of a chief data officer in organisations and that CDO is a board-level position. But that is not how every firm sees it, with a number appointing or moving their data officer into the CIO’s team. David Reed considers the arguments against this approach. - [Knowledge management – Turning data and analytics into a contact sport](https://www.dataiq.global/articles/carbon-guidance-knowledge-management-turning-data-and-analytics-into-a-contact-sport/): As data and anaytics teams build innovative, transformative solutions and processes, the role of knowledge management becomes ever more important. Rather than leaving the understanding of how those assets were created locked up in the minds of practitioners, it needs to be formalised, documented and shared. This whitepaper considers how to apply knowledge transfer in this domain. - [Key factors in deciding where to place your data organisation](https://www.dataiq.global/articles/key-factors-in-deciding-where-to-place-your-data-organisation/): Data and analytics may already exist in your organisation as expert practitioners within different functions. But that is not the same as having a data and analytics function. When deciding to create this as a standalone unit, a critical issue to settle is where it should sit in the broader organisation. This article considers possible options based on DataIQ Leaders member experiences. - [Build and future-proof your skills with DataIQ Leaders](https://www.dataiq.global/articles/build-and-future-proof-your-skills-with-dataiq-leaders/): If data and technology are creating what has been called the Fourth Industrial Revolution, then data and analytics functions (D&A) find themselves right at the heart of this transformation. This article maps the skills you need now and in 2020 against the DataIQ Leaders programme to help you find the resources to equip yourself. - [Improving soft skills in the data and analytics function](https://www.dataiq.global/articles/carbon-guidance-improving-soft-skills-in-the-data-and-analytics-function/): This guidance whitepaper considers how organisations should map soft skills, support teams in developing them, incentivise improvements and measure these abilities from the top down. It is intended to help DataIQ Leaders members to improve their scores on these factors when undertaking a CARBON™ assessment.  - [Creating a hub for intelligent data at Deutsche Telekom](https://www.dataiq.global/articles/creating-hub-intelligent-data-deutsche-telekom/): Sven Löffler, business development executive of big data and data-driven business at T-Systems, a subsidiary of Deutsche Telekom, oversaw the launch of the Telekom Data Intelligence Hub. The Telekom Data Intelligence Hub is a secure market... - [Moving from data silos to data assets](https://www.dataiq.global/articles/carbon-guidance-moving-from-data-silos-to-data-assets/): With every new system adopted by an organisation, data proliferates. Without the right management and governance, these sources soon become silos. The result can be an incomplete view of the business and its customer base, as well as flawed processes and lost value. This guidance whitepaper offers insights into how to improve your CARBON capability around data management. - [Twin hubs and weird hours – How to manage a global data team](https://www.dataiq.global/articles/twin-hubs-and-weird-hours-how-manage-global-data-team-0/): The obvious difficulty posed by having data teams- based in different cities around the world is coordinating meetings and having face-to-face time. However, according to the former global lead of customer intelligence and data at a leading retail... - [“It’s not always the weather” – Optimising KPI development and delivery](https://www.dataiq.global/articles/carbon-guidance-its-not-always-the-weather-optimising-kpi-development-and-delivery/): Business intelligence is often the entry point for data transformations. As such, it brings the data and analytics teams into direct contact with lines of business to refine, support and deliver key performance indicators. This guidance whitepaper offers insights into how to improve your CARBON capability around this business-critical area of activity. - [Data ice breakers](https://www.dataiq.global/articles/data-ice-breakers/): The reports I've been reading recently have been peppered with facts and figures about the digital universe and the data economy. I have brought together some of them for reference in case you are ever caught short of a data-related titbit... - [Trusting brands, sharing data – the GDPR effect](https://www.dataiq.global/articles/trusting-brands-sharing-data-gdpr-effect/): If the prospect of the new legal framework for data protection has you worried, just imagine what life was like for charities back in 2015. “We were shaken by the negative impact from the death of Olive Cook,” recalled Michelle de Souza, chief dat... - [UK consumers the most trusting with location data, despite fears](https://www.dataiq.global/articles/uk-consumers-most-trusting-location-data-despite-fears/): Britons have conflicting sentiments about the collection of their location data. This is according to a survey of 8,000 global consumers, including 1,000 in the UK. Toni Sekinah reports. UK respondents are most likely of al... - [So that’s what a neural network is!](https://www.dataiq.global/articles/so-thats-what-neural-network/): I’ve been writing about data and analytics for a while now, and there are some terms and phrases that I’ve used so often that I’m sure I know what they mean. I can generally use them in the right context, but I would be hard-pressed to come up wit... - [Harder, better, faster, stronger: How marketing can lead in a data-driven world](https://www.dataiq.global/articles/harder-better-faster-stronger-how-marketing-can-lead-data-driven-world/): The future is automation. The future is blockchain. The future is artificial intelligence. If these statements are true, then there is an important question for us in the marketing industry: with a future orientated to data-driven marketing, do we... - [Building a data lab](https://www.dataiq.global/articles/carbon-guidance-building-a-data-lab/): Data science has been a focus for investment by organisations seeking to mature their data and analytics capability for the last five years. This briefing paper offers insights into how to improve your maturity score by creating a data lab, - [Get the data basics right](https://www.dataiq.global/articles/get-data-basics-right/): Get the basics right, use incoming regulation as a stimulus to innovate, and choose the right tools to manage the data. Those are the three key conclusions drawn by credit reference agency Experian from a recent ... - [How King is crushing games data](https://www.dataiq.global/articles/how-king-crushing-games-data/): Jonathan Palmer, product director of core data services at King, the entertainment company most famous for creating the Candy Crush franchise, sees himself as being in a lucky position. He hasn’t had to generate curiosity about using data from all... - [Lessons learnt from AutoTrader algorithms](https://www.dataiq.global/articles/lessons-learnt-autotrader-algorithms/): Dr Peter Appleby is the head of data science at AutoTrader, having worked his way up from data scientist and lead data scientist positions. By going through the process of productionising algorithms, he learnt the important lessons of playing to o... - [Improving BI data quality](https://www.dataiq.global/articles/carbon-guidance-improving-bi-data-quality/): Data quality in business intelligence is not often recognised as an issue in itself, yet its impact on the reliability of reports and KPIs can be significant. This guidance note offers an approach for improving your CARBON score for BI by one or two points. - [“Ditch and switch” – the £77 billion cost of failing to be hyper-personal](https://www.dataiq.global/articles/ditch-and-switch-ps77-billion-cost-failing-be-hyper-personal/): Nearly one third of consumers expect the companies they engage with to know more about them, according to a survey of 25,000 consumers globally, including 1,800 in the UK. Furthermore, the ... - [Information is beautiful – but can it also be BI?](https://www.dataiq.global/articles/information-beautiful-can-it-also-be-bi/): Last week saw the latest set of winners in the Kantar Information is Beautiful awards announced. Once again, it revealed how incredibly diverse the ap... - [Driving analytics at Jaguar Land Rover](https://www.dataiq.global/articles/driving-analytics-jaguar-land-rover/): Get support and be supported by sharing and collaborating. This was the key message from senior analytics manager Richard Bovey on what he has learnt from setting up the analytics team at Jaguar Land Rover automotive company. The analytics ... - [Move aside Excel Ninjas – business transformation has new weapons](https://www.dataiq.global/articles/move-aside-excel-ninjas-business-transformation-has-new-weapons/): When big data officially emerged as a new thing, one major area of focus was on “exhaust data” and the idea that organisations could find huge value in data that already existed in their systems, but was not being exploited. Since then, big data p... - [Case study: Comic Relief GDPR programme](https://www.dataiq.global/articles/case-study-comic-relief-gdpr-programme/): Comic Relief made an early start on its GDPR compliance programme by creating a working party in November 2015. Its approach to data audits, privacy policies, data retention and staff training are an award-winning benchmark. - [3 steps into the future](https://www.dataiq.global/articles/3-steps-future/): Connected toasters that list themselves on eBay if you haven’t used them for 90 days. Smart homes that sense who is present based on their behavioural pattern. Cars that talk to eachother and can brake in unison. What was once the stuff of science... - [Merkle Aquila – from Edinburgh kitchen to global player](https://www.dataiq.global/articles/merkle-aquila-edinburgh-kitchen-global-player/): Five years ago, Aquila Insight was founded around a kitchen table in Edinburgh. This year saw it acquired by Merkle and become part of the Dentsu Aegis Network, taking it onto the global stage. En route, it has been a model for how to grow an anal... - [How Boots built a gender mix into its Personalisation Insights Team](https://www.dataiq.global/articles/how-boots-built-gender-mix-its-personalisation-insights-team/): What is the situation? The personalisation, loyalty and insights (PLI) team at Boots is 66% female in a team of 31. When did they notice they were different? ... - [IoT set to accelerate disruption of car insurance sector](https://www.dataiq.global/articles/iot-set-accelerate-disruption-car-insurance-sector/): The adoption of autonomous vehicles by the automotive industry is starting to pick up pace. Nick Walker, insurance expert and RAC’s former UK telematics managing director, witnessed BMW set up a building outside Munich and fill it with 2,000 engin... - [Disconnected data is a spanner in the works of business efficiency](https://www.dataiq.global/articles/disconnected-data-spanner-works-business-efficiency/): Disconnected data is an obstacle to efficiency within organisations. This is according to research that found that, on average, workers believe their organisation would see a 28% increase in efficiency if all necessary data were better int... - [Don’t follow the Swedish model: why data contracts could be your DP downfall](https://www.dataiq.global/articles/dont-follow-swedish-model-why-data-contracts-could-be-your-dp-downfall/): Sweden has every reason to be sensitive about personal information. Up to 1975, it compulsorily sterilised some 21,000 of its own citizens on the grounds of eugenics. With a problematic misuse of medical data of that kind in its background, you wo... - [Are you content with assumed consent?](https://www.dataiq.global/articles/are-you-content-assumed-consent/): Imagine you attend an event to hear a speaker from your industry, invite in hand, and expected by the hosts. The drinks are flowing as guests nibble the canapés. Throughout the schoomzing, you notice a photographer snapping away in the bac... - [Double pivot gets Football Whispers the win](https://www.dataiq.global/articles/double-pivot-gets-football-whispers-win/): The team behind Football Whispers submitted its entry to the DataIQ Talent Awards only hoping that the data sector would understand what it is doing - trawling through transfer chatter for nuggets of truth. The sector not only understood, ... - [How to win your analytics bid – 5 tips to be a successful CAO](https://www.dataiq.global/articles/how-win-your-analytics-bid-5-tips-be-successful-cao/): JustGiving and eBay may have a category difference when it comes to their size - the fundraising platform has helped more than £4 billion to be collected since it launched in 2001, while the auction site sold around £16 billion of stock in... - [IAC migrates for a cleaner data view](https://www.dataiq.global/articles/iac-migrates-cleaner-data-view/): As the head of business intelligence at IAC Publishing Labs, it is Erika Bakse’s job to make sure that data and analytics is available to all business users and data users - “basically, the whole company,” in her words. She told DataIQ in ... - [EDF makes smart home connections](https://www.dataiq.global/articles/edf-makes-smart-home-connections/): Head of connected home at EDF Energy Blue Lab, John Hutchins, is excited about developments in his area of the energy company’s innovation centre. During a presentation hosted by the Sussex Innovation Centre in Croydon, part of the Univers... - [A warehouse full of Snowflakes](https://www.dataiq.global/articles/warehouse-full-snowflakes/): In an interview with DataIQ, chief executive Bob Muglia described Snowflake as, “a data warehouse company that is revolutionising the way people work with data,” and added that, “there is an insatiable desire for organisations to work with... - [Embrace smart data to achieve your marketing goals](https://www.dataiq.global/articles/embrace-smart-data-achieve-your-marketing-goals/): Data is a valuable currency for most companies these days. In 2015, users generated nearly 8 zettabytes of data worldwide and that number is likely to reach 35 zettabytes within just a few years. Companies are contributing to that massive ... - [John Akred: Data scientist in search of the right question](https://www.dataiq.global/articles/john-akred-data-scientist-search-right-question/): “It can look as though my life led up to this moment in what seems like a grand plan to become a data scientist. The truth is I just got lucky that the world decided to call what I do data science.” So says John Akred, co-founder and CTO at Silico... - [Andrew Day, CDO of Sainsbury’s, tops the 2017 DataIQ 100](https://www.dataiq.global/articles/andrew-day-cdo-sainsburys-tops-2017-dataiq-100/): The ultimate power list of the most influential leaders in data-driven business. Now in its fourth consecutive year, the DataIQ 100 has been revealed once again to highlight the UK’s key industry leaders who drive business... - [DataIQ 100 Class of 2016 – Where are they now?](https://www.dataiq.global/articles/dataiq-100-class-2016-where-are-they-now/): With the unveiling of this year’s DataIQ 100, it’s a good opportunity to look back on the class of 2016 and consider how much has changed in the last 12 months. It is immediately striking that, out of the previous Top Ten, just five remain in the ... - [HR/AI = (-x) – The employment/automation equation](https://www.dataiq.global/articles/hrai-x-employmentautomation-equation/): Valentine’s Day is looming next week and for commercial flower growers it represents one of the biggest sales opportunities of the year. Assuming they can get their products cut and collected from  the fields, that is. In the wake of Brexit, the b... - [Have we passed peak data protection?](https://www.dataiq.global/articles/have-we-passed-peak-data-protection/): Progress is a motherhood and apple pie concept, as the Americans like to call them. Nobody disagrees with it, but few can define exactly why it is especially welcome. If you say a new development is just part of progress, it is a quick way... - [How to run the perfect proof of concept](https://www.dataiq.global/articles/how-run-perfect-proof-concept/): Two things are happening in enterprise IT: the pace of change is reaching breakneck speeds; and technology is moving closer to the strategic goals of businesses, creating a great deal of digital disruption. Young, agile businesses that hav... - [5 lessons from the Future](https://www.dataiq.global/articles/5-lessons-future/): This year’s conference programme for DataIQ Future was rich in insight about how organisations are adopting the new techniques of artificial intelligence (AI), machine learning and data science. Presentations across the day proved that these are n... - [How to get a slice of the PIE](https://www.dataiq.global/articles/how-get-slice-pie/): Here are two concepts you might need to get familiar with if you want a slice of the personal information economy (PIE) - “growth through trust” and “self-sovereign identity”.  The first is a guiding principle laid down by Eliz... - [How to win on your technology bets, from AI to IoT](https://www.dataiq.global/articles/how-win-your-technology-bets-ai-iot/): Keeping up with trends in technology can provide genuine financial gains and competitive advantage. But when it comes to implementing technology that is clearly relevant and being applied elsewhere, there is often a lag. The reason? Skills... - [The importance of data governance in meeting regulatory compliance](https://www.dataiq.global/articles/importance-data-governance-meeting-regulatory-compliance/): The EU approves 80 directives, 1,200 regulations, and 700 directions each year, on average, while in the UK, an average of 3,000 statutory instruments - the country’s primary method of making laws - are introduced in the same timeframe. Ind... - [News Analysis: 3 steps towards better fraud prevention](https://www.dataiq.global/articles/news-analysis-3-steps-towards-better-fraud-prevention/): Fraud is big news. The Office for Nation Statistics having added experience of fraud onto its National Crime Survey, the media was filled last week with its estimates for offences in the 12 months up to the end of March 2016: two million computer ... - [Owning the data: Why sports coaches should be the new heads of data](https://www.dataiq.global/articles/owning-data-why-sports-coaches-should-be-new-heads-data/): With the Rio 2016 Summer Olympic games fast approaching, both coaches and athletes will be working non-stop preparing themselves for an intense month of sporting events. With all aspects of athletes’ training plans dedicated to improving p... - [Cybercrime is a serious strategic risk: Prevention deserves the highest priority](https://www.dataiq.global/articles/cybercrime-serious-strategic-risk-prevention-deserves-highest-priority/): The threat of cybercrime continues to evolve and grow as criminals adapt to new security measures and take advantage of changes to our online behaviour. The only constant appears to be our vulnerability - whatever new steps are taken by co... - [Shopper v Consumer – The difference between the two](https://www.dataiq.global/articles/shopper-v-consumer-difference-between-two/): In an age where customers are king, marketers constantly have to strive to keep ahead of the marketplace adapting how they interact and engage with customers to drive brand loyalty and sales growth. How we perc... - [“If everything seems under control, you’re not going fast enough.”](https://www.dataiq.global/articles/if-everything-seems-under-control-youre-not-going-fast-enough/): With the rate of data growth continuing to accelerate and market disruption becoming the new normal, companies might wonder how they can react fast enough. David Reed spoke recently to Aaron Auld, CEO of in-memory analytics vendor EXASOL, ... - [Internet of Things brings big (data) changes for businesses](https://www.dataiq.global/articles/internet-things-brings-big-data-changes-businesses/): We all hear about the Internet of Things (IoT) in relation to smart fridges or clever thermostats, but these examples are only the tip of the proverbial iceberg. Big data from smart connected devices is going to change how we do business o... - [DNA of a data scientist](https://www.dataiq.global/articles/dna-data-scientist/): Are you looking to hire a data scientist? Do you understand exactly what you are looking for, or do you get confused about exactly what they are supposed to do? You are not alone - many in the data industry are struggling to embrace this n... - [4 reasons to resist calls for a “dexit”](https://www.dataiq.global/articles/4-reasons-resist-calls-dexit/): At the same time as the country is being asked to decide whether to stay in or out of the European Union, a parallel discussion is taking place in the data industry. At the DMA Data Protection Day on 26th February, a steady current of conv... - [A Summary of the EU General Data Protection Regulation](https://www.dataiq.global/articles/summary-eu-general-data-protection-regulation/): In December 2015 the long process of agreeing a new set of legislation designed to reform the legal framework for ensuring the rights of EU residents to a private life was completed. This was ratified in early 2016 and becomes widely enfor... - [Ensuring your supply of data – the hidden competitive advantages](https://www.dataiq.global/articles/ensuring-your-supply-data-hidden-competitive-advantages/): If you were trying to subscribe to Sky TV in late 2011, you may have been told that there would be a delay in sending out your set-top box. The reason? A hidden dimension of the supply chain supporting that broadcaster’s growth and marketi... - [Profiting from the complete view](https://www.dataiq.global/articles/201509profiting-complete-view/): Business strategies increasingly include data and analytics, but do they consider how to deliver that... - [Do vast datasets equal validity?](https://www.dataiq.global/articles/do-vast-datasets-equal-validity/) - [Top Tips for merging the online and offline customer experience](https://www.dataiq.global/articles/201508top-tips-merging-online-and-offline-customer-experience/): The online offline debate has seen numerous headlines over the past decade – the 'death of the high street' proclaimed as a foregone conclusion by many. However, as a new report 'Retail Innovations' publishe - [Taking a more disciplined approach to predictive analytics](https://www.dataiq.global/articles/201409taking-more-disciplined-approach-predictive-analytics/): Predictive analytics, under the guise of the rather more prosaic label of mathematical and statistical modelling, has been around for years, especially in financial services and mail order retailing. Now, as the value of data becomes much more ... - [Ironing out the right technology wrinkles](https://www.dataiq.global/articles/ironing-out-right-technology-wrinkles/): In the drive towards data-driven marketing, it is easy to overlook one thing - somewhere there needs to be a system to bring together the data, run the campaigns and generate reports on performance. Marketing automation does not just happen. It needs to be created out of the complex web of business systems in which customer data resides, delivery channels through which messages will be sent and mapped onto business processes which have not always been codified. - [Join the dots for the perfect journey](https://www.dataiq.global/articles/join-dots-perfect-journey/): Travel has been changed by comparison and review sites. Now it is fighting back by trying to har... - [Cops and robbers, detectives and data thieves](https://www.dataiq.global/articles/cops-and-robbers-detectives-and-data-thieves/): Your company has lost sensitive customer data. When do you find ... - [Data governance is something to shout about](https://www.dataiq.global/articles/data-governance-something-shout-about/): Creating an enabling culture which protects data yet drives business pro... - [The Age of Consent](https://www.dataiq.global/articles/age-consent/): Most companies don’t really know where they stand - they don’t have consent rates ... - [Better Data. Better Business.](https://www.dataiq.global/articles/better-data-better-business/): The boardroom of today is a difficult place to be, executives... - [Getting the data seal of approval](https://www.dataiq.global/articles/getting-data-seal-approval/): It is easy to assume that an information security breach will not happen... - [Demonstrating ROI on Data](https://www.dataiq.global/articles/demonstrating-roi-data/): Pitching for investment into data management projects should be straightforward - everybody agre... - [Cashing in on data’s value](https://www.dataiq.global/articles/cashing-datas-value/): Few companies dispute the value of data to the business, but many flinch at the ongoing co... - [Setting seeds stops data shrinkage](https://www.dataiq.global/articles/setting-seeds-stops-data-shrinkage/): When data is licenced for use, both parties are acting in good faith. But just as good fences ma... - [Come Fly With Me – How to avoid a crash landing](https://www.dataiq.global/articles/marcome-fly-me-how-avoid-crash-landing/): “Toilet take up too much space on plane. If it is an hour flight, two hours to Rome… to Paris... ## Events - [Building a Modern Master Data Management Capability Around SAP](https://www.dataiq.global/iqevents/building-a-modern-master-data-management-capability-01-12-2026/): Explore how organisations are redesigning master data management around SAP, strengthening intake controls and reducing manual maintenance. - [Aligning a Global Data Ecosystem: Schneider Electric’s Approach to Stakeholder Engagement at Scale](https://www.dataiq.global/iqevents/aligning-a-global-data-ecosystem-13-04-2027/): How do you align data leaders across countries, business units and functions while maintaining a shared vision? Explore how Schneider Electric has built a global data ecosystem that connects stakeholders, aligns priorities and enables data and AI transformation at scale. - [DataIQ 100 Summit North America](https://www.dataiq.global/iqevents/dataiq-100-summit-north-america/): Where North America’s leading data and AI practitioners turn intelligence into enterprise advantage. - [AI promises to transform analytics, but what does it actually take to get there? Explore how Skyscanner is navigating the shift to AI-enabled analytics, from upskilling teams and building new capabilities to tackling the foundational work required to create real value.](https://www.dataiq.global/iqevents/the-reality-of-ai-in-analytics-09-12-2026/): AI promises to transform analytics, but what does it actually take to get there? Explore how Skyscanner is navigating the shift to AI-enabled analytics, from upskilling teams and building new capabilities to tackling the foundational work required to create real value. - [From Outputs to Impact: Building ITV’s Blended Data & Insight Team](https://www.dataiq.global/iqevents/from-service-centre-to-business-partner-17-03-27/): How do you bring together analysts, data scientists, product specialists and researchers into a single team focused on business impact? Hear ITV's journey, lessons learned and practical approaches to creating a multidisciplinary data and insight function. - [From Idea to Impact: Building an Award-Winning AI Product at Domino’s](https://www.dataiq.global/iqevents/from-idea-to-impact-03-02-27/): In this masterclass, Oliver Few, Senior Data Science Manager and Antony Bradshaw, Director of Data & Insights at Dominos, will share both the technical and organisational journey behind Domi Vision. - [From Cost Centre to Value Engine: Embedding a Value-Obsessed Data Culture through Mindset and Behaviour Change](https://www.dataiq.global/iqevents/from-cost-centre-to-value-engine-19-01-27/): In this masterclass, Vodafone, will share how it has evolved its data function from being perceived as a cost centre to operating as a value engine. - [Structuring Business Unit Data Offices](https://www.dataiq.global/iqevents/structuring-business-unit-data-20261201/): How organisations design business-unit data offices, define governance responsibilities and manage data ownership across global, federated operating models. - [Building an Integrated Commercial Analytics Engine](https://www.dataiq.global/iqevents/integrated-commercial-analytics-engine-20261202/): Connecting marketing mix, pricing, promotion and revenue growth analytics to create consistent, trusted commercial decisions. - [Making Responsible AI Practical: From Governance Frameworks to Delivery at Pace](https://www.dataiq.global/iqevents/making-responsible-ai-practical-28-11-26/): This masterclass explores how Lloyds Banking Group is making Responsible AI practical for teams building and deploying AI, combining clear governance with tools, guidance and support that help practitioners move at pace. - [Scaling Microsoft Fabric: Lessons Learned from Launch and Initial Roll Out](https://www.dataiq.global/iqevents/scaling-microsoft-fabric-25-11-2026/): Explore the practical lessons organisations have learned as they move Microsoft Fabric beyond initial launch and scale adoption across the business. - [Scaling Data Products Whilst Preparing For a Decentralized Model‌](https://www.dataiq.global/iqevents/scaling-data-products-24-11-2026/): Explore how organisations are moving beyond early data product pilots to scale delivery across decentralised domains while balancing speed, consistency and ownership. Explore how organisations are connecting data across the product lifecycles to create value, overcome implementation barriers and demonstrate that the digital thread works in practice. - [Scaling Access Management Controls for Enterprise Data Products](https://www.dataiq.global/iqevents/scaling-access-management-controls-16-11-2026/): Explore how organisations are connecting data across the product lifecycles to create value, overcome implementation barriers and demonstrate that the digital thread works in practice. - [Data and AI Literacy at Scale: Personalising Capability Across the Workforce](https://www.dataiq.global/iqevents/online-peer-exchange-20-10-26/): Through a presentation, and small group discussions, this event will showcase how Entain is scaling data and AI literacy, and allow attendees to learn more from their peers in curated roundtables. - [Defining Cashable Value for Data and AI Initiatives](https://www.dataiq.global/iqevents/accelerator-04-11-2026/): Explore how organisations can establish credible baselines, convert productivity gains into cashable value and demonstrate that financial outcomes justify ongoing investment. - [Making the Digital Thread Work Across the Product Lifecycle](https://www.dataiq.global/iqevents/turning-data-ambition-into-strategy-202611-173/): Explore how organisations are connecting data across the product lifecycles to create value, overcome implementation barriers and demonstrate that the digital thread works in practice. - [Effective AI Governance Frameworks: From Productivity Tools to Product-Embedded AI](https://www.dataiq.global/iqevents/enabling-ai-agents-to-use-right-context-20261021-224/): Explore how organisations are adapting AI governance frameworks to manage use cases ranging from internal productivity tools to customer-facing and product-embedded AI. - [2027 DataIQ 100 Discussion](https://www.dataiq.global/iqevents/dataiq-100-discussion-2/): Join senior data and AI leaders at the Science Museum, London, for a concentrated morning of practitioner-led insight, candid peer discussion and practical learning, followed by lunch, culminating in the DataIQ 100 Europe Reveal and Top 10 Countdown. - [Beyond Dashboards: Vodafone’s Journey Towards Data Democratisation and AI-Powered insight](https://www.dataiq.global/iqevents/beyond-dashbaords-11-11-26-768/): Learn how Vodafone is moving beyond traditional dashboards to empower employees with connected data, self-service insights and AI-driven decision-making. - [Turning Data Ambition into an Actionable Strategy](https://www.dataiq.global/iqevents/turning-data-ambition-into-strategy-202611/): How are data leaders prioritising what matters most and building realistic roadmaps for delivery? - [Enabling AI Agents to Find and Use the Right Context](https://www.dataiq.global/iqevents/enabling-ai-agents-to-use-right-context-20261021/): How are organisations creating the data foundations that help AI agents access, understand and use information effectively? - [DataIQ Congress](https://www.dataiq.global/iqevents/dataiq-congress/): This high-level, peer-driven forum, designed for CDOs, CAIOs and senior decision-makers, focuses on what it truly takes to operationalise AI across the enterprise, from strategy and governance to execution and adoption. - [Defining and Reporting Data Risk in Banking](https://www.dataiq.global/iqevents/defining-and-reporting-in-banking-20261015/): As regulatory expectations increase, how do banks define, measure and communicate data risk in a way that drives ownership and action? - [Operationalizing Data Retention](https://www.dataiq.global/iqevents/operationalising-data-retention-29092026/): As data volumes continue to grow, how do organisations apply data retention consistently across systems and functions - [Defining the Scope for Governing Data Within Data Products](https://www.dataiq.global/iqevents/defining-scope-for-governing-data-with-data-products-20102026/): As organisations scale data products, how do they apply governance proportionately without creating unnecessary overhead? - [Transferring Data and AI Solutions from Project Delivery into Business Ownership](https://www.dataiq.global/iqevents/roundtable-11-05-2027/): Explore how organisations prepare business teams to own data and AI solutions and respond when adoption or value falls short. - [Embedding Data Governance into Projects and Business Operations](https://www.dataiq.global/iqevents/roundtable-19-04-2027/): Explore how peers translate governance policy into practical responsibilities, controls and measures within delivery and everyday operations. - [Redesigning Business Workflows Around AI-Enabled Decisions](https://www.dataiq.global/iqevents/roundtable-07-04-2027/):  Explore how organisations move beyond adding AI to existing processes and redesign decisions, roles and controls around new capabilities. - [Preparing Enterprise Knowledge and Metadata for Generative and Agentic AI](https://www.dataiq.global/iqevents/roundtable-02-03-2027/): Explore how peers identify trusted knowledge, preserve context and establish the ongoing ownership required for generative and agentic AI. - [Building an Enterprise AI Inventory: Risk Classification and Ongoing Monitoring](https://www.dataiq.global/iqevents/roundtable-24-02-2027/): Learn how organisations establish a reliable view of AI use, classify risk and apply proportionate oversight as their portfolio changes. - [Building Decision Literacy: Helping Teams Challenge and Act on AI Recommendations](https://www.dataiq.global/iqevents/roundtable-08-02-2027/): Explore how peers help employees interpret AI recommendations, exercise judgement and remain accountable for their decisions. - [Controlling AI Cost at Scale: Compute, Usage and Unit Economics](https://www.dataiq.global/iqevents/roundtable-20-01-2027/): Examine how organisations connect the full cost of AI to business outcomes and intervene when the economics no longer hold. - [Who Funds Shared Data Foundations? Ownership, Co-Investment and Value Attribution](https://www.dataiq.global/iqevents/roundtable-08-12-2026/): Explore how peers decide which shared data capabilities merit central investment and how funding and value are allocated across the business. - [Managing Multiple AI Models and Providers: Standards, Switching Costs and Vendor Risk](https://www.dataiq.global/iqevents/roundtable-17-11-2026/): Explore how peers set model and provider standards while preserving choice, controlling dependency and preparing for future change. - [Building the Processes to Govern Unstructured Data at Scale](https://www.dataiq.global/iqevents/accelerator-govern-unstructured-data-07-10-2026/): Explore the business processes, governance foundations and practical approaches organisations are using to manage unstructured data securely and at scale. - [Rerun: Breaking Down Data Silos In Complex Organisations](https://www.dataiq.global/iqevents/roundtable-rerun-30-11-2026/): Discuss how organisations are connecting fragmented data teams and capabilities while preserving business ownership and agility. Share practical approaches to creating consistent standards without slowing down innovation. - [Rerun: Reimagining Data Stewardship in an AI-First World](https://www.dataiq.global/iqevents/roundtable-rerun-11-11-2026/): Explore how AI is transforming data stewardship by automating repetitive tasks and allowing stewards to focus on governance, ownership and decision-making. Discuss how organisations can redesign stewardship roles to increase engagement and accountability. - [Data Democratisation at Scale: Trusted Data, Hands-On Learning and Communities That Create Value](https://www.dataiq.global/iqevents/data-democratisation-at-scale-22-10-26/): This masterclass explores how organisations can scale data democratisation by connecting trusted data, practical capability building and communities of engaged data users. - [Modernising Regulatory Data Production for the AI Era](https://www.dataiq.global/iqevents/modernising-regulatory-data-production-29-09-26-621/): Discover how cloud, data products and AI are reshaping regulatory data production and what the next era of trusted, intelligent reporting could look like. - [Aligning Decentralised Data and AI Capabilities with Enterprise Strategy](https://www.dataiq.global/iqevents/aligning-decentralised-data-16-09-26/): Explore how leading organisations are balancing decentralised AI innovation with enterprise governance, architecture and investment. - [Launching and Scaling AI Projects: From Blank Page to Operational Impact](https://www.dataiq.global/iqevents/launching-and-scaling-ai-projects-26-08-26/): This masterclass explores how Veolia started from a broad CEO-led question and developed a scalable AI programme for Energy Recovery Facilities, balancing discovery, adoption and practical impact. - [Breaking Down Data Silos In Complex Organisations](https://www.dataiq.global/iqevents/roundtable-05-11-2026-710/): Discuss how organisations are connecting fragmented data teams and capabilities while preserving business ownership and agility. Share practical approaches to creating consistent standards without slowing down innovation. - [Reimagining Data Stewardship in an AI-First World](https://www.dataiq.global/iqevents/roundtable-26-10-2026/): Explore how AI is transforming data stewardship by automating repetitive tasks and allowing stewards to focus on governance, ownership and decision-making. Discuss how organisations can redesign stewardship roles to increase engagement and accountability. - [Is Your Architecture Fit for the Future?](https://www.dataiq.global/iqevents/roundtable-15-09-2026/): Assess your current architecture and make informed choices about what to modernise, replace, or integrate as demand for AI-ready infrastructure accelerates. - [Hiring, Upskilling, Retaining: What Actually Solves the Data Talent Gap?](https://www.dataiq.global/iqevents/roundtable-02-09-2026/): Tackle persistent hiring and retention challenges by building strategies that go beyond just recruitment and focus on growing and keeping the right capabilities. - [Data Literacy at Scale: Tactics for Culture Change Across the Business](https://www.dataiq.global/iqevents/roundtable-19-08-2026/): Explore how peers move from awareness to adoption by empowering employees across the organisation to use data and AI confidently in everyday decisions. - [Industry Pulse: The Rise of Decision Intelligence](https://www.dataiq.global/iqevents/industry-pulse-08-07-26/): Following the publication of our latest research on decision intelligence, this session explores what the findings signal for how organisations operate and how data and AI leaders deliver value. - [Evolving Data Governance for the AI Era in Regulated Industries](https://www.dataiq.global/iqevents/https-hub-dataiq-global-events-evolving-data-governance-for-the-ai-era-in-regulated-industries/): Explore how regulated organisations are evolving governance to support AI, balance compliance with agility, and align data, model risk and AI oversight. - [Future-Proofing Your Test-and-Learn Capabilities In B2C](https://www.dataiq.global/iqevents/future-fit-test-and-learning-capabilities-05-08-2026-724/): Discover how leading organisations are building test-and-learn capabilities to foster experimentation, improve customer engagement and deliver measurable business outcomes. - [Developing Data and AI Talent in High Maturity Organisations](https://www.dataiq.global/iqevents/accelerator-future-skills-and-capabilities-28-07-2026/): Exploring the future skills, roles, and capability models needed to thrive in a rapidly evolving AI landscape. - [Making Data Governance and Data Quality a Shared Responsibility in Federated R&D Organisations](https://www.dataiq.global/iqevents/accelerator-making-data-quality-shared-responsibility-17-06-2026/): Exploring how federated organisations can drive accountability for data quality, align standards across teams, and build trusted data foundations for future AI and business needs. - [Governing Critical Data Elements: Best Practice for Mature Regulated Organisations in the US](https://www.dataiq.global/iqevents/accelerator-governing-critical-data-04-08-2026/): How are leading US financial institutions identifying and governing critical data elements while balancing risk, ownership, and operational efficiency? - [Starting a Data and AI Community of Practice](https://www.dataiq.global/iqevents/accelerator-creating-data-communities-14-07-26/): Exploring how organisations are building, scaling and measuring successful data communities of practice to drive engagement, enablement and shared best practice. - [Agentic Series: Technical Infrastructure and Foundational Strategies Enabling Agentic AI.](https://www.dataiq.global/iqevents/accelerator-agenticseries-27-05-2026/): Explore how organisations are designing technical foundations, platforms, and control layers to safely build, deploy, and scale autonomous AI agents. - [Data modelling to support data product delivery using GenAI](https://www.dataiq.global/iqevents/accelerator-genai-productivity-28-05-2026/): How are advanced organisations evolving data modelling practices to better support scalable, governed data delivery in complex, regulated environments? - [Agentic data quality: how organisations are implementing tools and operating models](https://www.dataiq.global/iqevents/accelerator-agentic-data-quality-03-06-2026/): How are leading organisations using AI-powered, agentic approaches to transform data quality with human oversight in complex, regulated environments. - [Designing a Scalable ETL, Data Warehousing, and Reporting Strategy for S/4HANA](https://www.dataiq.global/iqevents/accelerator-s-4hana-transformations-04-06-26/): Bridging the gap between evolving S/4HANA transformations and a robust, fit-for-purpose ETL strategy that delivers usable, trusted data at scale. - [Driving Organisation-Wide Engagement in Data Literacy](https://www.dataiq.global/iqevents/accelerator-driving-organisational-data-literacy-21-05-26/): Practical strategies to engage employees and leaders, boost participation, and measure the real business impact of data literacy initiatives. - [Successfully Activating Data Communities in Decentralised Organisations](https://www.dataiq.global/iqevents/accelerator-data-communities-07-05-26/): Turning fragmented data talent into a connected, high-impact community across the enterprise. - [From Grassroots to Global Goals: Building High-Performing Data Teams](https://www.dataiq.global/iqevents/masterclass-grassroots-to-global-goals-10-06-26/): Drawing on grassroots football and the World Cup, this masterclass explores how organisations can build strong data cultures and high-performing teams across industries. - [test event only – ignore test event only – ignore test event only – ignore test event only – ignore test event only – ignore test event only – ignore](https://www.dataiq.global/iqevents/test-event-only-ignore-test-event-only-ignore-test-event-only-ignore-test-event-only-ignore-test-event-only-ignore-test-event-only-ignore/): excerpt text goes here - [2026 DataIQ Awards Shortlist Reveal](https://www.dataiq.global/iqevents/2026-dataiq-awards-shortlist-reveal/) - [2026 DataIQ Awards Ceremony](https://www.dataiq.global/iqevents/2026-dataiq-awards-ceremony/) - [2026 DataIQ Awards Entry Deadline](https://www.dataiq.global/iqevents/2026-dataiq-awards-entry-deadline/): Enter the 2026 DataIQ Awards to highlight the impact of your work, your team and organisation. Don’t miss your opportunity to stand out and receive the recognition your work truly deserves. - [From Curated Datasets to Data Products that Drive Value](https://www.dataiq.global/iqevents/accelerator-curated-datasets-07-05-26/): This session focuses on realities of moving curated datasets to well-defined data and information products services that deliver measurable results in federated organisations. - [Establishing a Unified Data Sharing Policy and Ownership Framework](https://www.dataiq.global/iqevents/accelerator-data-sharing-29-04-26/): How regulated organisations establish clear ownership, governance, and coordinated approval processes for responsible, scalable data sharing across complex international environments. - [Delivering Responsible AI at Speed and Scale in Large, Complex Organisations](https://www.dataiq.global/iqevents/accelerator-responsible-ai-06-05-26/): How can large, complex organisations scale AI responsibly while balancing governance, collaboration, and innovation to deliver safe, high-value outcomes? - [Industry Focus: Utilities: Earning Business Buy-In for Data and AI Ownership](https://www.dataiq.global/iqevents/roundtable-industry-focus-21-05-26/): Explore how data and AI teams build durable business partnership, so ownership, governance, and investment become shared commitments rather than data team initiatives. - [Agentic Commerce: What Does the Future Hold and How Do You Prepare? ](https://www.dataiq.global/iqevents/roundtable-agentic-commerce-06-05-26/): Explore how B2C organisations are preparing for a shift from website-led commerce to AI agents that discover, evaluate, and transact on behalf of customers. - [Measuring ROI of AI-Driven, Multi-Channel Marketing](https://www.dataiq.global/iqevents/roundtable-roi-21-04-26/): Explore how consumer and retail organisations are measuring true incremental impact and attribution across AI-driven, automated, multi-channel customer journeys.  - [Best Practice for Starting Organisation Wide Data Literacy Programmes](https://www.dataiq.global/iqevents/accelerator-wide-data-literacy-02-04-2026/): Designing scalable data literacy programmes that drive engagement and capability across the organisation. - [Scaling Data Literacy: Building Role-Based Competencies](https://www.dataiq.global/iqevents/accelerator-scaling-data-literacy-14-04-26/): Designing scalable data literacy programmes that drive engagement and capability across the organisation. - [2026 DataIQ Awards Tables](https://www.dataiq.global/iqevents/2025-dataiq-awards-tickets-brand-565-420/) - [Roundtable – Evolving Data Competency Frameworks for the AI Era: Lessons, Approaches, and Early Progress](https://www.dataiq.global/iqevents/roundtable-data-competency-frameworks-02-03-2026/): Discuss how organisations are evolving data competency frameworks for the era, sharing early progress, lessons, pilots, and challenges in building AI skills across the enterprise. - [Modernising Geospatial Data Infrastructure: Migrating from On-Prem to Cloud](https://www.dataiq.global/iqevents/accelerator-geospatial-data-infrastructure-24-03-2026/): What it takes to move large-scale geospatial data from on-prem systems to cloud-native platforms. - [Building Use Cases that Drive Value with the Business](https://www.dataiq.global/iqevents/accelerator-use-cases-01-04-2026/): How to identify, prioritise, and scale data use cases that deliver real business impact. - [Roundtable – Evolution of the CDO: Growth Paths for Senior Data and AI Leaders](https://www.dataiq.global/iqevents/roundtable-cdo-evolution-23-03-25-865-611/): Look at how the CDO role is shifting, and what pathways leaders are taking to expand their influence and career opportunities. - [Building a Trusted, Single View for Regulatory Decision-Making](https://www.dataiq.global/iqevents/accelerator-4-mar-2026/): How organisations are unifying complex data sources to deliver trusted insights for regulatory decision-making. - [Transitioning to S/4HANA: Lessons Learnt](https://www.dataiq.global/iqevents/accelerator-3-mar-26/): How leading organisations are navigating data migration, governance, and value creation in S/4HANA. - [2026 DataIQ Awards Masterclass](https://www.dataiq.global/iqevents/2026-dataiq-awards-masterclass/): Join us for an exclusive masterclass and get a behind-the-scenes look at what makes an award-winning submission stand out for the 2026 DataIQ Awards! - [Storing and Using Personal Data in GDPR Compliant Way](https://www.dataiq.global/iqevents/accelerator-4-feb-26/): Learn how financial services organisations approach storing, sharing, and using personal data across cloud, on-prem, and distributed systems while remaining GDPR-compliant. - [Proving Impact from Data Literacy and Upskilling Programmes](https://www.dataiq.global/iqevents/accelerator-5-feb-26/): Explore how data governance frameworks, accountability models, and roles are evolving to support the rise of autonomous AI agents and decision automation. - [Data Literacy at Scale: Tactics for Culture Change Across the Business](https://www.dataiq.global/iqevents/roundtable-sep-26/): Explore how peers move from awareness to adoption by empowering employees across the organisation to use data and AI confidently in everyday decisions. - [Hiring, Upskilling, Retaining: What Actually Solves the Data Talent Gap?](https://www.dataiq.global/iqevents/roundtable-aug-26/): Tackle persistent hiring and retention challenges by building strategies that go beyond just recruitment and focus on growing and keeping the right capabilities. - [Is Your Architecture Fit for the Future? Trade-Offs in Modernising the Data Stack](https://www.dataiq.global/iqevents/roundtable-jul-26/): Assess your current architecture and make informed choices about what to modernise, replace, or integrate as demand for AI-ready infrastructure accelerates. - [The Shadow AI: Managing Unofficial GenAI Use Across the Business](https://www.dataiq.global/iqevents/roundtable-jun-26/): Address the surge in unapproved GenAI tools being used across your organisation and explore ways to manage the risk without blocking productivity. - [Fully Booked – Navigating AI Risk: Building Resilient and Responsible Data Practices](https://www.dataiq.global/iqevents/roundtable-may-26/): Discuss balancing innovation with oversight by putting the right guardrails in place, from data governance to ethical risk management, without slowing delivery. - [Building Use Case Portfolios That Deliver Results](https://www.dataiq.global/iqevents/roundtable-apr-26/): Discuss how to prioritise the data and AI projects that matter most by building a use case portfolio clearly linked to business outcomes, not just technical potential. - [Proving the Value of Data and AI in the Business Language of the C-Suite](https://www.dataiq.global/iqevents/roundtable-oct-26/): Discuss how to translate technical achievements into financial outcomes to win executive buy-in, secure investment, and elevate the role of data and AI across the organisation. - [Making Data Products Work in Practice](https://www.dataiq.global/iqevents/peer-exchange-data-products-2026/): In person peer exchane for data governance leaders to share practical experiences and strategies on areas like AI governance and measuring value of data governance initiatives. - [Creating Organisational Impact with Data and AI](https://www.dataiq.global/iqevents/peer-exchnage-amsterdam-april/): Data and AI are now key to value creation. The challenge is scaling impact, not capability. This event shows how leaders are embedding AI to build a repeatable, measurable AI-First future. - [Data Governance as a Business Enabler](https://www.dataiq.global/iqevents/peer-exchange-data-governance-24-feb/): In person peer exchnage for data governance leaders to share practical experiences and strategies on areas like AI governance and measuring value of data governance initiatives. - [Agentic Series: Organisational Structures Enabling the Change for Agentic AI](https://www.dataiq.global/iqevents/accelerator-agentic-series-18-03-2026/): Explore how data governance frameworks, accountability models, and roles are evolving to support the rise of autonomous AI agents and decision automation. - [Agentic Series: Technical Infrastructure and Foundational Strategies Enabling Agentic AI](https://www.dataiq.global/iqevents/accelerator-agentic-series-25-02-2026/): Explore how data governance frameworks, accountability models, and roles are evolving to support the rise of autonomous AI agents and decision automation. - [Agentic Series: Redefining Governance and Roles for the AI Agent Era](https://www.dataiq.global/iqevents/accelerator-agentic-series-20-01-2026/): Explore how data governance frameworks, accountability models, and roles are evolving to support the rise of autonomous AI agents and decision automation. - [Automating AI Governance: Scaling Oversight Without Slowing Adoption](https://www.dataiq.global/iqevents/accelerator-automating-ai-governance-03-12-2025/): Explore how to automate and scale AI governance so it enables business innovation instead of slowing it down—sharing practical approaches to tooling, visibility, and continuous oversight. - [Building and Validating a Scalable Data Quality Framework](https://www.dataiq.global/iqevents/accelerator-scalable-data-quality-10-12-2025/): Explore how to evolve an Azure data platform into a scalable, high-performance environment by structuring teams, processes, and operating models that drive continuous data and AI delivery. - [Agentic Series: Experimenting and Operationalising AI Agents](https://www.dataiq.global/iqevents/accelerator-ai-agents-08-12-2025/): Explore how data and AI leaders are building, testing, and scaling AI agents - from selecting the right architecture to managing cost, speed, and value delivery. - [Scaling Azure-Based Data Platforms and Teams for Fast Flow Delivery](https://www.dataiq.global/iqevents/accelerator-azure-platforms-09-12-2025/): Explore how to evolve an Azure data platform into a scalable, high-performance environment by structuring teams, processes, and operating models that drive continuous data and AI delivery. - [How to Lead an AI-First Organisation](https://www.dataiq.global/iqevents/masterclass-embedding-ai-14-11/): Embedding AI in business strategy is the defining challenge for data leaders. Explore how organisations move beyond experimentation to make data and AI central to decision-making. - [2026 DataIQ 100 Europe Live Reveal](https://www.dataiq.global/iqevents/2026-dataiq-100-europe-live-reveal-london/): Find out who has made the 2026 DataIQ 100 Europe list, the first and only fully-curated power list of the data industry's most influential figures. - [Roundtable – Evolution of the CDO: Growth Paths for Senior Data and AI Leaders](https://www.dataiq.global/iqevents/roundtable-cdo-evolution-09-03-25-865/): Look at how the CDO role is shifting, and what pathways leaders are taking to expand their influence and career opportunities. - [Roundtable – Scaling Data Governance: Embedding Guardrails, Not Roadblocks](https://www.dataiq.global/iqevents/roundtable-data-governance-09-02-25/): Discuss approaches to making governance a business enabler, balancing control with speed and usability at scale. - [Roundtable – What Does a Future Ready Data and AI Team Look Like?](https://www.dataiq.global/iqevents/roundtable-future-data-ai-team-19-01-26/): Explore the evolving skills, structures, and operating models that prepare teams to thrive in the next era of data and AI. - [Beyond the Pilot: Measuring Value of Your AI Projects](https://www.dataiq.global/iqevents/masterclass-beyond-the-pilot-25-03/): Explore how to define and measure business value from AI initiatives beyond initial pilot success. - [Preparing for Agentic AI: Evolving Organisational Culture](https://www.dataiq.global/iqevents/masterclass-agentic-ai-18-02-104-274-194/): Explore how organisational culture must evolve to embrace the era of agentic and autonomous AI systems. - [Building Operating Models That Survive Successive Waves of AI](https://www.dataiq.global/iqevents/masterclass-operating-models-28-01-104-274/): Explore operating models that enable organisations to thrive through multiple waves of AI disruption. - [Beyond the Pilot: Measuring Value of Your AI Projects](https://www.dataiq.global/iqevents/masterclass-beyond-the-pilot-measuring-value-of-your-ai-projects/) - [Accelerator: Best Practice for Future-Ready ESG Reporting](https://www.dataiq.global/iqevents/accelerator-best-practice-for-future-ready-esg-reporting/) - [Accelerator: Aligning Business-Led AI Initiatives Under a Central Strategy](https://www.dataiq.global/iqevents/accelerator-aligning-business-led-ai-initiatives-under-a-central-strategy/) - [Creating Successful Data Products](https://www.dataiq.global/iqevents/masterclass-data-products-30-09-25-687-520/): Learn how a data product mindset drives measurable business outcomes, from discovery to delivery, while embedding product principles in architecture and ways of working. - [Roundtable – Measuring Value: How Are Organisations Tracking Value of Data and AI Projects?](https://www.dataiq.global/iqevents/roundtable-measure-value-08-12-694-103/): Consider the practical methods and metrics leaders use to demonstrate the business value of data and AI beyond cost reduction. - [Roundtable – Embedding Data Driven Decision Making: What Works and What Doesn’t?](https://www.dataiq.global/iqevents/roundtable-data-driven-10-11-694/): Examine the cultural, structural, and incentive shifts that help organisations truly embed data-driven decision-making in daily practice. - [Roundtable – Who Owns AI Success? Distributing Accountability Across the Organisation](https://www.dataiq.global/iqevents/masterclass-ai-success-06-10-694-513/): Unpack how responsibility for AI outcomes can be shared across leadership, business units, and technical teams to ensure real ownership and impact. - [Designing a Robust, Future-Proof Tech Stack](https://www.dataiq.global/iqevents/masterclass-robust-tech-03-12-694/): Explore how to architect a tech stack that remains adaptable in the face of rapid AI and data innovation. - [Masterclass – Scaling AI Use Cases to Successfully Drive Value](https://www.dataiq.global/iqevents/masterclass-scaling-ai-19-11-104/): Explore the strategies for scaling AI use cases to deliver enterprise-wide impact rather than isolated pilots. - [Masterclass – Creating Successful Data Products](https://www.dataiq.global/iqevents/masterclass-data-products-30-09/): Learn how a data product mindset drives measurable business outcomes, from discovery to delivery, while embedding product principles in architecture and ways of working. - [Masterclass – Embedding Data and AI in the Organisational Strategy](https://www.dataiq.global/iqevents/masterclass-embedding-data-ai-22-10/): Explore how to embed data and AI at the heart of organisational strategy to shape business transformation. - [Roundtable: Who Owns AI Success? Distributing Accountability Across the Organisation](https://www.dataiq.global/iqevents/roundtable-ai-success-06-10-25/): Unpack how responsibility for AI outcomes can be shared across leadership, business units, and technical teams to ensure real ownership and impact. - [Accelerator – Advancing AI Literacy: From Awareness to Adoption Across the Organisation](https://www.dataiq.global/iqevents/accelerator-ai-literacy-890-382-466/): Explore strategies to embed AI literacy, build trust, and reduce resistance, moving from awareness to adoption across all organisational levels. - [Accelerator – Leveraging Executive Enthusiasm for AI to Progress on Data Foundations](https://www.dataiq.global/iqevents/accelerator-leverage-executive-ai-890-583/): Leverage executive AI enthusiasm to advance data foundations, delivering AI value while building scalable infrastructure and avoiding endless POC cycles. - [Accelerator – Getting Technical Lineage Right: Lessons from Mature Data Teams](https://www.dataiq.global/iqevents/accelerator-technical-lineage-890-382/): Discover how top data teams build, scale, and embed technical lineage into daily workflows without the maintenance burden. - [Accelerator – Data Products that Deliver: Embedding Data into the Business](https://www.dataiq.global/iqevents/accelerator-data-products-890-575-393-908/): Uncover what makes data products truly usable, how teams embed them into business workflows, and the org habits that drive lasting success. - [Accelerator – Leveraging AI for Data Quality Control in Mature, Complex Organisations](https://www.dataiq.global/iqevents/accelerator-leveraging-ai-890-575-393/): Learn how mature organisations use AI to enhance data quality, overcome implementation challenges, and measure impact effectively. - [Accelerator – From Compliance to Value: Evolving the Role of Data Teams in Regulated Industries](https://www.dataiq.global/iqevents/accelerator-compliance-to-value-890-575/): Explore how data leaders in regulated industries shift from compliance to value, driving impact through strategic capabilities and leadership. - [Accelerator – Proving the value of adapting from a decentralised operating model to a hub and spoke](https://www.dataiq.global/iqevents/accelerator-decentrailised-operating-model-890/): Explore how organisations show value from a central data office, pilot hub-and-spoke models, and sustain momentum despite limited resources and siloed structures. - [Accelerator – Best Practice for Migrating to Microsoft Fabric](https://www.dataiq.global/iqevents/accelerator-microsoft-fabric/): Join us to explore best practices, lessons learned, and key strategies for successfully migrating to Microsoft Fabric at scale. - [Accelerator: Rethinking Business with AI – How Organisations with Mature D&A Practice Implement and Scale Agentic AI](https://www.dataiq.global/iqevents/accelerator-rethinking-business-with-ai/): Exchange observations and ideas on how mature data and analytics organisations can respond to fast-changing Ai landscape, and prepare for the agentic future. - [Accelerator – Scaling Responsible and Ethical AI: Enabling Innovation to Production Without Losing Sleep](https://www.dataiq.global/iqevents/accelerator-operationalising-data-governance-887-505-521-473-610-527/): Learn how to implement effective data governance across federated units without central control, best models, roles, and practices for trusted, scalable data in complex organisations. - [Accelerator – Operationalising Data Governance in Federated Organisations: Building Alignment Without Central Control](https://www.dataiq.global/iqevents/accelerator-operationalising-data-governance-887-505-521-473-610/): Learn how to implement effective data governance across federated units without central control, best models, roles, and practices for trusted, scalable data in complex organisations. - [Data Practitioners Meet-up: Career Pathways](https://www.dataiq.global/iqevents/members-meet-up-20-05-25-949/): Join us at our Meet-up on ’Career Pathways’ where we will have a panel session with subject matter experts who will share their insights and strategies for advancing your career in data. - [Accelerator – Adopting Data Mesh Architecture in a Highly-Regulated, Federated Environment](https://www.dataiq.global/iqevents/accelerator-data-mesh-architecture-887-505-521-473/): Discuss the strategies to align enterprise architecture with delivery teams, tactics for adoption with leadership support, and best practices for data access guardrails in a data mesh architecture. - [Roundtable: Prioritising AI use cases for business impact](https://www.dataiq.global/iqevents/roundtable-ai-use-cases-12-05-25-364/): Join us to explore how to prioritize high-impact genAI use cases, build on efficiency gains, and track key issues to ensure scalable, ROI-driven success. - [2025 DataIQ Awards Tickets: Brand](https://www.dataiq.global/iqevents/2025-dataiq-awards-tickets-brand-565/) - [2025 DataIQ Awards Tickets: Solution Provider](https://www.dataiq.global/iqevents/2025-dataiq-awards-tickets-solution-provider/) - [2025 DataIQ World Congress Tickets: Solution Provider](https://www.dataiq.global/iqevents/2025-dataiq-world-congress-tickets-solution-provider/) - [2025 DataIQ World Congress Tickets: Brand](https://www.dataiq.global/iqevents/2025-dataiq-world-congress-tickets-brand/) - [Masterclass: Capturing Data Value](https://www.dataiq.global/iqevents/masterclass-data-value-23-04-25-359/): Join us to learn how CDOs and CDAIOs turn raw data into insights for better decisions, products, and operational efficiency. - [Accelerator – Implementing a Scalable & Governed Self-Service Model](https://www.dataiq.global/iqevents/accelerator-scalable-governed-self-service-model-887-505-521/): The session will discuss how to embed governance in self-service models, drive adoption during technological transformation, and balance IT oversight with innovation in lean self-service environments. - [Inspiring Action Workshop](https://www.dataiq.global/iqevents/workshop-inspiring-action-24-06-25/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Business Partnering Workshop](https://www.dataiq.global/iqevents/workshop-business-partnering-18-06-2025/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Storytelling with Data Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-04-06-25/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Business Partnering Workshop](https://www.dataiq.global/iqevents/workshop-business-partnering-22-05-2025/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Inspiring Action Workshop](https://www.dataiq.global/iqevents/workshop-inspiring-action-08-05-25/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Storytelling with Data Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-07-05-25/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Storytelling with Data Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-09-04-25/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Inspiring Action Workshop](https://www.dataiq.global/iqevents/workshop-inspiring-action-08-04-25/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Business Partnering Workshop](https://www.dataiq.global/iqevents/workshop-business-partnering-03-04-2025/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Roundtable: Delivering your Data Transformation Plan](https://www.dataiq.global/iqevents/roundtable-data-transformation-plan-19-05-25/): Join us to discuss how data leaders in large organisations are approaching their transformation plans and the challenges faced and how they’ve overcome these - [Roundtable: Building an end to end data strategy for a complex organisation structure](https://www.dataiq.global/iqevents/roundtable-data-strategy-complex-14-4-25/): Join us to discuss how data leaders in large organisations are approaching their strategies and the challenges faced to deliver an end to end initiative - [Roundtable: Deepseek – game changer or risk?](https://www.dataiq.global/iqevents/roundtable-deepseek-ai-24-3-25/): Join us to discuss how data leaders can navigate this dynamic landscape and learn how others are approaching this opportunity - [Accelerator – Implementing AI Governance Forums and Frameworks](https://www.dataiq.global/iqevents/accelerator-scaling-data-literacy-fluency-887/): Discuss what approaches organisations have taken to start effective AI governance and gain the business momentum necessary for the longevity of the program. - [Masterclass – Why businesses don’t engage with Data Governance, and how to change this](https://www.dataiq.global/iqevents/masterclass-data-governance-12-03-25/): Join us to hear about the key elements of good data, including quality, security, and connectivity, and learn how to communicate these concepts effectively through memorable visuals. - [In-Person, All-Day Meet Up: Unlocking Data’s True Value: From Metrics to Impact](https://www.dataiq.global/iqevents/members-meet-up-04-06-25-302/): Learn from peers and discuss how data and AI teams can work with the business to align when it comes to value creation and calculation. - [2025 DataIQ Awards Masterclass](https://www.dataiq.global/iqevents/2025-dataiq-awards-masterclass/) - [2025 DataIQ Awards Shortlist Reveal](https://www.dataiq.global/iqevents/2025-dataiq-awards-shortlist-reveal/) - [Test Event USD](https://www.dataiq.global/iqevents/test-event-usd/) - [Accelerator – Scaling Data Literacy and Fluency Programmes in Large, Multinational Enterprises](https://www.dataiq.global/iqevents/accelerator-scaling-data-literacy-fluency/): Discuss how organisations with 50,000+ employees have scaled their data literacy efforts across the entire enterprise. - [FULLY BOOKED – Accelerator – Capturing Value from Data: How to Accelerate Mindset and Culture Shift in the Business](https://www.dataiq.global/iqevents/accelerator-capturing-value-from-data/): Identify effective strategies to help business teams to think about, identify and report on the value delivered from data initiatives. - [Accelerator – Effectively Rolling Out Data Catalog in Public Sector Organisations](https://www.dataiq.global/iqevents/accelerator-rolling-out-data-catalogues/): Explore best practice for implementing successful data catalog, including aspects of stakeholder buy-in, adoption, technical considerations and roles and responsibilities. - [Leaders Meet-Up: Evolving job roles in an ever changing data and AI future](https://www.dataiq.global/iqevents/members-peer-exchange-03-04-25/): Explore how data leaders can navigate the evolving AI-driven job landscape and drive innovation. - [DataIQ World Congress](https://www.dataiq.global/iqevents/2025-dataiq-world-congress/) - [DataIQ Guild](https://www.dataiq.global/iqevents/2025-dataiq-guild/): DataIQ Guild Think-Tank delves into the evolution of Chief Data and Analytics Officers (CDAOs) and the ever growing importance of data and AI in the organisations and society as a whole. Entering its fourth year, DataIQ Guild brings together an exclusive group of leaders to discuss, collaborate and to ultimately amplify data and AI’s impact in organisations. - [2025 DataIQ Awards Americas: Shortlist Reveal](https://www.dataiq.global/iqevents/the-2025-data-ai-awards-shortlist-reveal/): Join us to celebrate the achievements of the shortlisted nominees and get ready for the grand finale of the 2025 Data & AI Awards - [Roundtable Rerun – AI Upskilling](https://www.dataiq.global/iqevents/roundtable-ai-upskilling-20-01/): Join us on this Roundtable to discuss: Which roles should be upskilled with to AI? And how should you assess your team's needs? - [2025 World Conference](https://www.dataiq.global/iqevents/2025-world-conference/): An exciting 2 day event for senior data and AI professionals - [2025 DataIQ Awards North America – Gala Dinner](https://www.dataiq.global/iqevents/2025-dataiq-data-ai-awards-776/): The USA Data & AI Awards honours both companies and individuals that have demonstrated excellence in the data and AI industry over the past 12 months. - [AFL Module 11 – Becoming a trusted advisor](https://www.dataiq.global/iqevents/afl-module-11-becoming-a-trusted-advisor-05-08/): Explore how important it is to develop into a reliable advisor in order to succeed as a senior data leader. Discover powerful techniques for presenting data and preserving harmony in your interactions while telling the truth. - [FULLY BOOKED – Roundtable Rerun – So you’ve built your data academy, how do you get people engaged?](https://www.dataiq.global/iqevents/roundtable-data-academy-engagement-24-02-25-838/): Join us on this Roundtable to discuss: What actions, tools and techniques have data leaders deployed to help in the journey, spark interest and boost attention? - [2025 DataIQ 100 – Nomination Deadline](https://www.dataiq.global/iqevents/2025-dataiq-100-nomination-deadline/): The DataIQ 100 profiles the most important and influential people in data-driven businesses. Nominations are free and open to any member of our community through the nomination form. - [Roundtable – Data-Enabled Sustainability: How Can CDOs Effectively Define Their Role and Action Plan?](https://www.dataiq.global/iqevents/roundtable-esg-03-03-25/): Join us on this roundtable to debate and understand some of the challenges of collecting and reporting on ESG data and hear how other companies are tackling this subject.  - [2025 DataIQ Awards North America – Entry Deadline](https://www.dataiq.global/iqevents/2025-dataiq-data-ai-awards/): The USA Data & AI Awards honours both companies and individuals that have demonstrated excellence in the data and AI industry over the past 12 months. - [Masterclass – Embedding your data literacy programme](https://www.dataiq.global/iqevents/masterclass-embedding-your-data-literacy-programme-18-02-25/): Join us on this Masterclass to discuss embedding your data literacy programme. - [Masterclass – Winning with AI: Destination Canada’s revolutionary AI Data Collective](https://www.dataiq.global/iqevents/masterclass-destination-canada-winning-with-ai/): Join us as the team at Destination Canada discusses their groundbreaking AI platform that revolutionizes travel forecasting and delivers powerful insights for the tourism industry. - [Storytelling with Data Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-16-10-2024-293-694/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [FULLY BOOKED – Roundtable – So you’ve built your data academy, how do you get people engaged?](https://www.dataiq.global/iqevents/roundtable-data-academy-engagement-10-02-25/): Join us on this Roundtable to discuss: What actions, tools and techniques have data leaders deployed to help in the journey, spark interest and boost attention? - [FULLY BOOKED – Roundtable – AI Upskilling](https://www.dataiq.global/iqevents/roundtable-ai-upskilling/): Join us on this Roundtable to discuss: Which roles should be upskilled with to AI? And how should you assess your team's needs? - [Inspiring Action Workshop](https://www.dataiq.global/iqevents/workshop-inspiring-action-25-03-25/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Storytelling with Data Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-06-03-25/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Inspiring Action Workshop](https://www.dataiq.global/iqevents/workshop-inspiring-action-21-02-25/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Storytelling with Data Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-06-02-25/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Inspiring Action Workshop](https://www.dataiq.global/iqevents/workshop-inspiring-action-17-01-25/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Storytelling with Data Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-16-01-2024-293-689-301-887/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Business Partnering Workshop](https://www.dataiq.global/iqevents/workshop-business-partnering-18-03-25/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Business Partnering Workshop](https://www.dataiq.global/iqevents/workshop-business-partnering-12-02-25/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Business Partnering Workshop](https://www.dataiq.global/iqevents/workshop-business-partnering-08-01-25/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Masterclass – Data Management: Addressing the practical challenges](https://www.dataiq.global/iqevents/masterclass-data-management-practical-challenges/): Join us to discuss addressing the practical challenges of data management with Head of Group Data Management for Danske Bank Nivedh Iyer. - [AFL Module 3 – Building data literacy across the organisation](https://www.dataiq.global/iqevents/afl-module-3-10-12-24/): Learn about the concept of data literacy and why it plays an important role in ensuring data delivers value to the organisation. - [AFL Module 2 – Mapping your data strategy to the business strategy](https://www.dataiq.global/iqevents/afl-module-2-19-11-24/): Learn how to create a strategy that takes your organisation towards its vision, while ensuring it aligns with the tech strategy and is supported by a strong data strategy. - [AFL Module 1 – Understanding the role of leadership and the need for a vision](https://www.dataiq.global/iqevents/module-1-understanding-the-role-of-leadership-and-the-need-for-a-vision-15-10-24/): Learn about the importance of having a vision for data, both as an enabler for the organisation and as a guiding principle for the data office. - [DataIQ Awards Ceremony](https://www.dataiq.global/iqevents/2025-dataiq-awards/): The DataIQ Awards honours both companies and individuals that have demonstrated excellence in the data industry over the past 12 months. As the data and analytics industry’s most prestigious awards. - [DataIQ 100 Summit North America](https://www.dataiq.global/iqevents/2025-dataiq-100-summit-nashville/): The DataIQ 100 Summit Nashville is a two day conference where influential data leaders from the DataIQ 100 will share their insights into how they are addressing the opportunities and threats around AI. - [2026 DataIQ 100 Discussion and 100 Europe Top 10 Live Reveal](https://www.dataiq.global/iqevents/2026-dataiq-100-discussion-london/): Find out who has made the 2025 DataIQ 100 EMEA list, the first and only fully-curated power list of the data industry's most influential figures. - [Roundtable – Data Migration: Transferring from old legacy platforms to new ones – FULLY BOOKED](https://www.dataiq.global/iqevents/roundtable-data-migration-10-11-2024/): Join us on this Roundtable to discuss what makes a successful systems migration. - [Roundtable – Building a resilient data capability](https://www.dataiq.global/iqevents/roundtable-building-resilient-data-06-11-2024/): Join us on this Roundtable to discuss how you can build resilience into your data organisation. - [Roundtable Rerun – Valuing data as an Asset](https://www.dataiq.global/iqevents/valuing-data-as-an-asset-17-oct-24/): Join this roundtable to discuss how best to value data as an asset and the approaches other businesses take. - [Roundtable – Valuing Data as an Asset](https://www.dataiq.global/iqevents/roundtable-valuing-data-09-10-2024/): Join this roundtable to discuss how best to value data as an asset and the approaches other businesses take. - [Masterclass – How prepared is your organisation for AI?](https://www.dataiq.global/iqevents/masterclass-how-prepared-is-your-organisation-for-ai/): Join us to hear the team at DataIQ cover latest framework for measuring AI preparedness, strategies that companies have adopted for initiating and embedding AI, as well as the critical aspects of governance and ethics. - [Data and AI Inspiration Session: The Impact of AI on the role of the data leader and the business](https://www.dataiq.global/iqevents/usa-leaders-meet-up-sept/): Join us at the Mars AI Lab to discover how Mars is embracing AI and listen to senior data leaders share their stories on tackling AI challenges and achieving exciting innovations. - [Business Partnering Workshop](https://www.dataiq.global/iqevents/workshop-business-partnering-12-12-2024-674-960-594/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Inspiring Action Workshop](https://www.dataiq.global/iqevents/workshop-inspiring-action-05-12-2024-141-298-631/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Storytelling with Data Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-04-12-2024-293-689-301/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Storytelling with Data Workshop – FULLY BOOKED](https://www.dataiq.global/iqevents/workshop-data-storytelling-20-11-2024-293-689/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Inspiring Action Workshop](https://www.dataiq.global/iqevents/workshop-inspiring-action-14-11-2024-141-298/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Business Partnering Workshop – FULLY BOOKED](https://www.dataiq.global/iqevents/workshop-business-partnering-13-11-2024-674-960/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Storytelling with Data Workshop – FULLY BOOKED](https://www.dataiq.global/iqevents/workshop-data-storytelling-16-10-2024-293/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Inspiring Action Workshop](https://www.dataiq.global/iqevents/workshop-inspiring-action-10-10-2024-141/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Business Partnering Workshop](https://www.dataiq.global/iqevents/workshop-business-partnering-02-10-2024-674/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Masterclass – What comes next for the data leader role in an AI future?](https://www.dataiq.global/iqevents/masterclass-what-comes-next-data-leader-ai-future/): Join us on another exciting masterclass as Randy Bean shares his insights and answers your questions on how the role of the data leader has evolved over time - and will continue to evolve in the years ahead. - [2024 DataIQ Awards Ceremony](https://www.dataiq.global/iqevents/2024-dataiq-awards-ceremony/): The DataIQ Awards honours both companies and individuals that have demonstrated excellence in the data industry over the past 12 months. As the data and analytics industry’s most prestigious awards, over 400 entries were received in 2023. - [Masterclass – Data Transformation Journeys](https://www.dataiq.global/iqevents/masterclass-data-transformation-journeys/): Join us on another exciting masterclass and watch Steve Green from SMBC Group, share some top tips and answer a Q&A on data transformation journeys. - [Roundtable Rerun – Setting up and running a data lab](https://www.dataiq.global/iqevents/roundtable-data-lab-23-09-24/): Join this roundtable to know what makes a successful data lab, how to gather ideas from across the organisation, and how these ideas can be truly shared across the enterprise. - [Roundtable Rerun – Helping CDOs accelerate their data and analytics strategy – FULLY BOOKED](https://www.dataiq.global/iqevents/roundtable-cdo-analytics-strategy-30-07-2024/): This roundtable will examine important questions that lead to the creation of an effective data and analytics strategy. - [DataIQ 100 Summit London](https://www.dataiq.global/iqevents/dataiq-100-summit-london/): The DataIQ 100 Summit London is a one day conference featuring interactive roundtable discussions and keynote sessions by award-winning chief data and analytics officers. Register to hear what our influential data leaders have to share. - [Roundtable Rerun – Tackling the challenges of Data Quality](https://www.dataiq.global/iqevents/roundtable-data-quality-26-06-2024-2/): In this roundtable we’ll discuss ways DataIQ members are approaching data quality challenges, the tools & techniques being used and how they are helping to make the right business decisions. - [Facilitating Action Workshop](https://www.dataiq.global/iqevents/workshop-facilitating-action-20-08-2024/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Facilitating Action Workshop](https://www.dataiq.global/iqevents/workshop-facilitating-action-24-07-2024/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Business Partnering Workshop](https://www.dataiq.global/iqevents/workshop-business-partnering-03-09-2024/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Business Partnering Workshop – FULLY BOOKED](https://www.dataiq.global/iqevents/workshop-business-partnering-30-07-2024/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Storytelling with Data Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-17-09-2024/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Storytelling with Data Workshop – FULLY BOOKED](https://www.dataiq.global/iqevents/workshop-data-storytelling-27-08-2024/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Data Storytelling Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-06-08-2024/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Data Storytelling Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-17-07-2024/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Roundtable – Setting up and running a data lab – FULLY BOOKED](https://www.dataiq.global/iqevents/roundtable-data-lab-18-09-24-2/): Join this roundtable to know what makes a successful data lab, how to gather ideas from across the organisation, and how these ideas can be truly shared across the enterprise. - [Roundtable – Helping CDOs accelerate their data and analytics strategy – FULLY BOOKED](https://www.dataiq.global/iqevents/roundtable-cdo-analytics-strategy-17-07-2024/): This roundtable will examine important questions that lead to the creation of an effective data and analytics strategy. - [Data Practitioners Meet-up – September](https://www.dataiq.global/iqevents/data-practitioners-meet-up-september/): Join us at our our September Meet-up on ’Building your Personal Brand’ where we will have a panel session with subject matter experts focusing on the skills required to showcase your data talents, and how to develop them. - [Leaders Meet-up – Future Leaders List 2025 Reveal](https://www.dataiq.global/iqevents/members-meet-up-nov/): Continuing our 2024 Members Meet-Up series, November’s in-person Members Meet-Up will be an event to celebrate the Future Leaders within the DataIQ community! - [AFL Module 10 – Starting to think strategically](https://www.dataiq.global/iqevents/afl-module-10-starting-to-think-strategically/): Understand strategic thinking in the context of business and improve your style of leadership. Learn about methods and approaches for cultivating strategic thinking. - [AFL Module 9 – Building your business literacy](https://www.dataiq.global/iqevents/afl-module-9-building-your-business-literacy/): Delve into the significance of understanding your organisation's purpose, goals, structure, financial performance, and culture. Explore how aligning the language of data with the language of the business can enhance your effectiveness in driving impact. - [AFL Module 8 – How to lead a data function](https://www.dataiq.global/iqevents/afl-module-8-how-to-lead-a-data-function/): Explore how to manage groups of data practitioners, analysts and data scientists and learn how to motivate and engage your colleagues for success. - [Masterclass – Structuring your team for success](https://www.dataiq.global/iqevents/masterclass-structuring-your-team-for-success/): Join us on another exciting masterclass and watch Tom Spencer from Aviva, share some top tips and tricks on structuring teams for success. - [Masterclass – Building a successful Data Culture](https://www.dataiq.global/iqevents/masterclass-building-a-successful-data-culture/): Be a part of DataIQ’s new Masterclass series and witness Josh Cunningham share his experience on how Lloyds Banking Group has introduced an extensive company wide data culture programme. - [AFL Module 7 – Finding your leadership style](https://www.dataiq.global/iqevents/afl-module-7-finding-your-leadership-style/): Unlock essential leadership qualities for the data office of your organisation. Learn about your own leadership style so you can lead with effectiveness and confidence. - [AFL Module 6 – Setting the right data quality foundations](https://www.dataiq.global/iqevents/afl-module-6/): Learn the six key dimensions of data quality and the ten ways to measure and ameliorate each one, ensuring you have a clear plan for where to deploy resources against challenges. - [AFL Module 5 – Enabling compliance and regulation at the data level](https://www.dataiq.global/iqevents/afl-module-5/): Learn about the variety of regulations that impact on data and how to create an effective governance culture that keeps the lights on across the organisation without creating risk. - [AFL Module 4 – Establishing the right technology strategy for data](https://www.dataiq.global/iqevents/afl-module-4/): Learn about the specific technology requirements of the data office and how to ensure there is appropriate focus and investment to realise the function’s goals. - [AFL Module 3 – Building data literacy across the organisation](https://www.dataiq.global/iqevents/afl-module-3/): Learn about the concept of data literacy and why it plays an important role in ensuring data delivers value to the organisation. - [AFL Module 2 – Mapping your data strategy to the business strategy](https://www.dataiq.global/iqevents/afl-module-2/): Learn how to create a strategy that takes your organisation towards its vision, while ensuring it aligns with the tech strategy and is supported by a strong data strategy. - [AFL Module 1 – Understanding the role of leadership and the need for a vision](https://www.dataiq.global/iqevents/module-1-understanding-the-role-of-leadership-and-the-need-for-a-vision/): Module 1 - Understanding the role of leadership and the need for a vision - [Roundtable – Demonstrating the value of the CDO function](https://www.dataiq.global/iqevents/roundtable-cdo-function-25-03-2024-round2/): This roundtable will examine techniques successful CDOs have deployed to demonstrate their value to the business and the steps they have taken to measure their effectiveness. - [Roundtable – Demonstrating the value of the CDO function](https://www.dataiq.global/iqevents/roundtable-cdo-function-20-03-2024-2/): This roundtable will examine techniques successful CDOs have deployed to demonstrate their value to the business and the steps they have taken to measure their effectiveness. - [Data Practitioners Meet-up – Finding your leadership style](https://www.dataiq.global/iqevents/members-pop-up-april/): If you are a data practitioner hoping to make your next upward career move then join us for this discussion where we’ll have a Q&A about finding your leadership style. - [Masterclass – How to achieve scale with Power BI](https://www.dataiq.global/iqevents/masterclass-how-to-achieve-scale-with-power-bi/): Don't miss the opportunity to hear Steve Pimblett share his experience on how The Very Group has managed to scale its use of Power BI across the organisation. - [Leaders Meet-up – Communicating Success Stories](https://www.dataiq.global/iqevents/members-meet-up-october/): Join us to hear Diane Berry and Kate Jones share their insights on the need to communicate their teams’ successes and what innovative techniques are being deployed to do so. - [Leaders Meet-up – Setting up and Running a Data Academy](https://www.dataiq.global/iqevents/members-meet-up-march/): Join us for another in our successful series of Members Meet-ups where we will have a Q&A themed around setting up and running a data academy, as well as our one on one DataIQ-pid discussions! - [2024 DataIQ Awards](https://www.dataiq.global/iqevents/2024-dataiq-awards/): The DataIQ Awards honours both companies and individuals that have demonstrated excellence in the data industry over the past 12 months. As the data and analytics industry’s most prestigious awards, over 400 entries were received in 2023. - [2024 DataIQ Summer Lunch](https://www.dataiq.global/iqevents/2024-dataiq-summer-lunch/): The DataIQ Summer Lunch will bring together the DataIQ community to celebrate successes and form new connections. As well as presenting Honours to three special members of the 2024 DataIQ 100, the shortlist for the DataIQ Awards will be announced live. - [2024 DataIQ Awards Global Shortlist Reveal](https://www.dataiq.global/iqevents/2024-dataiq-awards-shortlist-reveal/): Join us virtually on 26 June at 16:00 (BST) as we reveal the outstanding entries that impressed our esteemed panel of industry leaders. Making the DataIQ Awards shortlist is an achievement to be proud of and something that should be celebrated in its own right. - [DataIQ 100 Discussion](https://www.dataiq.global/iqevents/dataiq-100-discussion/): Delegates will hear how they can ensure they are driving their own organisations with data, analytics and AI. Facilitated roundtable discussions will provide a senior-level forum for open debate, together with insights into proven solutions from our partners and the impactful outcomes they have delivered. - [DataIQ 100 Summit Miami](https://www.dataiq.global/iqevents/dataiq-100-summit-miami/): The DataIQ 100 Summit Miami is a two day conference where influential data leaders from the DataIQ 100 will share their insights into how they are addressing the opportunities and threats around AI. - [2024 DataIQ AI Awards USA](https://www.dataiq.global/iqevents/2024-dataiq-ai-awards-usa/): The DataIQ AI Awards gala dinner recognizes and celebrates the positive impacts of AI on society, environmental and health successes, and governance best practice. Celebrating excellence in the positive use of AI. - [Facilitating Action Workshop – 14 Feb 24](https://www.dataiq.global/iqevents/workshop-facilitating-action-14-february-2024/): During this 2-hour digital workshop, we will teach you how to plan for and deliver action-orientated meetings with stakeholders. It will help you understand the core characteristics of a great facilitator, how to manage productive conversations, and how to use different techniques to prime and nudge your stakeholder to take action. - [Data Storytelling Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-25-06-2024/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Facilitating Action Workshop](https://www.dataiq.global/iqevents/workshop-facilitating-action-18-06-2024/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Business Partnering Workshop](https://www.dataiq.global/iqevents/workshop-business-partnering-12-06-2024/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Data Storytelling Workshop](https://www.dataiq.global/iqevents/workshop-data-storytelling-05-06-2024/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Facilitating Action Workshop – 23 May 24](https://www.dataiq.global/iqevents/workshop-facilitating-action-23-05-2024/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Data Storytelling Workshop – 14 May 24](https://www.dataiq.global/iqevents/workshop-data-storytelling-14-05-2024/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Business Partnering Workshop – 8 May 24](https://www.dataiq.global/iqevents/workshop-business-partnering-08-05-2024/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Data Storytelling Workshop – 24 Apr 24](https://www.dataiq.global/iqevents/workshop-data-storytelling-24-04-2024/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Facilitating Action Workshop – 18 Apr 24](https://www.dataiq.global/iqevents/workshop-facilitating-action-18-04-2024/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Roundtable – Tackling the challenges of Data Quality](https://www.dataiq.global/iqevents/roundtable-data-quality-12-06-2024/): In this roundtable we’ll discuss ways DataIQ members are approaching data quality challenges, the tools & techniques being used and how they are helping to make the right business decisions. - [Roundtable – Doing GenAI at scale](https://www.dataiq.global/iqevents/roundtable-genai-15-05-2024/): This roundtable will discuss ways DataIQ members are working on delivering GenAI at scale, the issues they are experiencing and how they’re overcoming them. - [Business Partnering Workshop – 6 Mar 24](https://www.dataiq.global/iqevents/workshop-business-partnering-06-03-2024/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Data Storytelling Workshop – 20 Mar 24](https://www.dataiq.global/iqevents/workshop-data-storytelling-20-03-2024/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [2024 DataIQ 100 Live Reveal](https://www.dataiq.global/iqevents/2024-dataiq-100-reveal/): There are many career-defining examples of brilliance in the DataIQ 100 and 2024 could be your year to shine. On March 5 we will be revealing the list of the most influential people in data and analytics in 2024. - [Facilitating Action Workshop – OS – 31 Jan 24](https://www.dataiq.global/iqevents/private-workshop-facilitating-action-ordnance-survey-31-01-2024/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Roundtable – How to start and embed your Data Academy](https://www.dataiq.global/iqevents/roundtable-data-academy-28-february-2024/): For those who are about to or have recently started their data academies there will be inevitable roadblocks along the way and this roundtable provides an opportunity to share solutions with peers. - [Business Partnering Workshop – 7 Feb 24](https://www.dataiq.global/iqevents/workshop-business-partnering-07-02-2024/): This 2-hour digital workshop will teach you how to build the skills required to shift from a transactional service relationship to one that delivers proactive solutions and advisory support to the business. - [Facilitating Action Workshop – 26 Mar 24](https://www.dataiq.global/iqevents/workshop-facilitating-action-26-03-2024/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Facilitating Action Workshop – 12 Mar 24](https://www.dataiq.global/iqevents/workshop-facilitating-action-12-03-2024/): This 2-hour live discussion led workshop will teach you how to plan for and deliver action-orientated meetings with your stakeholders whilst also helping to prime and manage on-going productive conversations. - [Data Storytelling Workshop – 20 Feb 24](https://www.dataiq.global/iqevents/workshop-data-storytelling-20-02-2024/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Data Storytelling Workshop – 24 Jan 24](https://www.dataiq.global/iqevents/workshop-data-storytelling-24-01-2024/): During this 2-hour fully interactive workshop, we will teach you how to distil large data sets into a punchy, powerful story and give you the tools to build connections with your audience and motivate them to action. - [Roundtable – Ethical AI – 17 Jan 24](https://www.dataiq.global/iqevents/roundtable-ethical-ai-17-01-24/): Ethical AI: First do no harm (then do some good)  - [PG Test private workshop Event – Please do not delete](https://www.dataiq.global/iqevents/pg-test-event-please-do-not-delete/): Lorem ipsum dolor sit amet, consectetur adipiscing elit. Non enim solum Torquatus dixit quid sentiret, sed etiam cur. Non quam nostram quidem, inquit Pomponius ioc ## Partners - [MSQ](https://www.dataiq.global/partner/msq/): We are a data, tech and insight agency. Experts in unlocking actionable insight, measurable value and developing connected data-driven experiences, globally. - [Anmut](https://www.dataiq.global/partner/anmut/): Connect data to your purpose, through strategic data asset management. Treat data as a prioritised asset, manage it for value, and maximise its potential. - [Quest](https://www.dataiq.global/partner/erwinbyquest/): At Quest Software, we create technology and solutions that build the foundation for enterprise AI. By focusing on data management and governance, cybersecurity, and platform modernization, we help organizations solve their most pressing challenges and turn the promise of AI into reality. - [Solidatus](https://www.dataiq.global/partner/solidatus/): Solidatus is the leading business lineage platform for complex, regulated, and hybrid data estates—delivering complete, bi-temporal, business-context-rich lineage that empowers organizations to prove, predict, and protect data use at enterprise scale. - [BDO](https://www.dataiq.global/partner/bdo/): BDO UK provides tax, audit and assurance, advisory and business outsourcing services to companies across all sectors of the economy. - [Blend](https://www.dataiq.global/partner/blend/): Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. - [WNS Analytics](https://www.dataiq.global/partner/wns-analytics/): WNS is a digital-led business transformation and services company with 63,390 professionals across 66 delivery centers worldwide, including facilities in 13 countries. - [Alteryx](https://www.dataiq.global/partner/alteryx/): Alteryx, the Analytics Automation company, is focused on enabling every person to transform data into a breakthrough. - [Seriös Group](https://www.dataiq.global/partner/serios-group/): Seriös Group are experts in data solutions, helping organisations take control of their data and deliver rapid value without compromise. - [QuantumBlack, AI by McKinsey](https://www.dataiq.global/partner/quantumblack-ai-by-mckinsey/): As McKinsey’s data and analytics center of excellence, we enable clients and our teams to improve performance by using cutting-edge advanced analytics to make precise interventions with measurable results. - [EXL](https://www.dataiq.global/partner/exl/): Drive your business forward with data & AI. - [Acxiom](https://www.dataiq.global/partner/acxiom/): Acxiom unifies, connects, and prepares data for AI-driven marketing and decision-making, maximising technology investments. - [Accenture](https://www.dataiq.global/partner/accenture/): Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services. ## 100 Alumni - [Maria Zervou, Chief AI Officer EMEA, Databricks](https://www.dataiq.global/dataiq100/maria-zervou-chief-ai-officer-emea-databricks/): Maria Zervou is Chief AI Officer for EMEA at Databricks, where she works with organisations across industries to accelerate the adoption and scaling of AI. Her career has evolved alongside the development of the data and AI industry itself, giving her a unique perspective on both technological innovation and organisational transformation.  - [Eileen Vidrine, CEO & Founder, Vidrine Vantage Consulting LLC](https://www.dataiq.global/dataiq100/eileen-vidrine-ceo-founder-vidrine-vantage-consulting-llc/): Eileen Vidrine is CEO and Founder of Vidrine Vantage Consulting LLC, where she advises organizations on data, AI, and strategic leadership. Her career has been defined by stepping into emerging spaces and shaping roles before they were formally established, with a consistent focus on using data to drive mission-critical decisions.  - [Scott Taylor, The Data Whisperer, MetaMeta Consulting](https://www.dataiq.global/dataiq100/scott-taylor-the-data-whisperer-metameta-consulting-2/): Scott Taylor is Founder of MetaMeta Consulting and widely known as The Data Whisperer, a global voice on data storytelling and business engagement. As a full-time content creator, Scott partners with technology brands, media organizations, and industry groups to help organizations communicate the value of data and AI through keynotes, events, webinars, podcasts, and digital content.  - [Sadie St. Lawrence, Founder and CEO, Human Machine Collaboration Institute (HMCI)](https://www.dataiq.global/dataiq100/sadie-st-lawrence-founder-and-ceo-human-machine-collaboration-institute-hmci/): Sadie St. Lawrence is Founder and CEO of the Human Machine Collaboration Institute (HMCI), where she focuses on advancing the intersection of AI, data, and human-centered leadership. Her career path spans multiple disciplines, beginning in music as a classically trained pianist, moving into neuroscience, and ultimately transitioning into data science. This unconventional journey has shaped her perspective on the gap between technological potential and real-world impact.  - [Zee Moradi, Chief Data Officer Americas, UBS](https://www.dataiq.global/dataiq100/zee-moradi-chief-data-officer-americas-ubs/): Zee Moradi is Chief Data Officer for the Americas at UBS, where she is responsible for data strategy, integration, management, and innovation across the region. As a Managing Director, Zee leads efforts to strengthen data capabilities, enabling better decision-making, regulatory compliance, and business performance.  - [Tom Henry, Chief Data and Deputy Chief Information Officer, Schnucks](https://www.dataiq.global/dataiq100/tom-henry-chief-data-and-deputy-chief-information-officer-schnucks/): Tom Henry is Chief Data and Deputy Chief Information Officer at Schnucks, where he leads the company’s data and information systems organization and serves as a member of the executive strategy team. In this role, Tom oversees high-performing data and IT teams responsible for building and maintaining a modern technology ecosystem that supports innovation, operational efficiency, and new revenue opportunities.  - [Sonia Khosla, SVP, Chief Data & AI Officer, Globe Life](https://www.dataiq.global/dataiq100/sonia-khosla-svp-chief-data-ai-officer-globe-life/): Sonia Khosla is Senior Vice President and Chief Data and AI Officer at Globe Life, where she leads enterprise data, analytics, and AI strategy to drive business transformation and customer-focused outcomes. With more than 15 years of experience in technology, including over a decade dedicated to data and analytics, Sonia has built a strong track record in scaling data capabilities across complex organizations.  - [Ranju Das, Chief AI & Technology Officer, Lululemon](https://www.dataiq.global/dataiq100/ranju-das-chief-ai-technology-officer-lululemon/): Ranju Das is Chief AI and Technology Officer at lululemon, where he leads the company’s AI and technology strategy to drive innovation, enhance operational efficiency, and elevate guest experiences. In this role, Ranju focuses on applying cloud computing, SaaS, and AI to transform retail operations while ensuring responsible and value-driven adoption of emerging technologies.  - [Michelle Boston, Chief Information Officer, Bank of America](https://www.dataiq.global/dataiq100/michelle-boston-chief-information-officer-bank-of-america/): Michelle Boston is Chief Information Officer at Bank of America, where she leads technology strategy and execution to support the bank’s global operations and business lines. Based in Dallas, she brings more than a decade of leadership experience within the organization, with a strong focus on data, architecture, and enterprise technology.  - [Karen Bernhard, Chief Data Officer, Citi](https://www.dataiq.global/dataiq100/karen-bernhard-chief-data-officer-citi-2/): Karen Bernhard is Chief Data Officer at Citi, where she leads enterprise data strategy and analytics to drive business value and strengthen decision-making across the organization. A results-oriented executive, Karen is known for identifying high-impact opportunities and delivering innovative, analytically rigorous solutions in complex, data-rich environments.  - [Joern Mumme, AVP Data Science & Machine Learning, Hyatt](https://www.dataiq.global/dataiq100/joern-mumme-avp-data-science-machine-learning-hyatt/): Joern Mumme is Associate Vice President of Data Science and Machine Learning at Hyatt, where he leads the development of AI-driven strategies and scalable data solutions across the business. In this role, Joern focuses on applying advanced analytics and machine learning to drive innovation within the hospitality industry.  - [Harish Rao, VP, Global Data and Analytics, Costco](https://www.dataiq.global/dataiq100/harish-rao-vp-global-data-and-analytics-costco/): Harish Rao is Vice President of Global Data and Analytics at Costco, where he leads data, AI, and marketing technology initiatives to drive revenue growth, operational efficiency, and enhanced member experience. With more than 25 years of experience, Harish has built a career focused on applying data, analytics, and emerging technologies to solve complex business challenges across retail, e-commerce, manufacturing, and financial services.  - [Hannah Poferl, Chief Data Officer, Universal Music Group](https://www.dataiq.global/dataiq100/hannah-poferl-chief-data-officer-universal-music-group/): Hannah Poferl is Chief Data Officer at Universal Music Group, where she leads data strategy to support audience growth, commercial performance, and digital innovation. Based in Santa Monica, she brings deep experience at the intersection of media, analytics, and newsroom strategy.  - [Emily Lyons, Chief Enterprise Data & Data Science Officer, Liberty Mutual Insurance](https://www.dataiq.global/dataiq100/emily-lyons-chief-enterprise-data-data-science-officer-liberty-mutual-insurance/): Emily Lyons is Chief Enterprise Data and Data Science Officer at Liberty Mutual Insurance, where she leads enterprise data strategy and advanced analytics to drive business performance and innovation. With nearly two decades at Liberty Mutual, Emily has built a career spanning actuarial science, analytics, and data leadership.  - [Christy O’Gaughan, Chief Data & Analytics Officer, Abbvie](https://www.dataiq.global/dataiq100/christy-ogaughan-chief-data-analytics-officer-abbvie/): Christy O’Gaughan is Chief Data and Analytics Officer at AbbVie, where she leads data, analytics, and AI initiatives to advance commercial performance and improve patient outcomes. With 25 years of experience in healthcare, Christy has built a career focused on driving digital transformation through data, insights, and intelligent technologies.  - [Caroline Arnold, EVP, Chief Data Officer & CIO, State Street](https://www.dataiq.global/dataiq100/caroline-arnold-evp-chief-data-officer-cio-state-street/): Caroline Arnold is Executive Vice President, Chief Data Officer and Chief Information Officer at State Street, where she leads enterprise data and technology strategy to support global investment operations and client services. A highly commercial technology leader, Caroline brings deep experience across investment banking, capital markets, research, compliance, and digital platforms.  - [Brian Dummann, VP, IT & Chief Data Officer, AstraZeneca](https://www.dataiq.global/dataiq100/brian-dummann-vp-it-chief-data-officer-astrazeneca/): Brian Dummann is Vice President of IT and Chief Data Officer at AstraZeneca, where he leads technology and data strategy to drive innovation and business outcomes across the organization. Known as an influential technology leader, Brian partners closely with business stakeholders to translate emerging capabilities into practical, enterprise-scale impact.  - [Andy Markus, Chief Data Officer, AT&T](https://www.dataiq.global/dataiq100/andy-markus-chief-data-officer-att/): Andy Markus is Chief Data Officer at AT&T, where he leads enterprise data and AI strategy with a focus on democratization, governance, and responsible use of consumer data. A seasoned data and analytics executive, Andy has built a career delivering creative, value-driven, and privacy-compliant solutions to complex, real-world challenges.  - [Andrew Reiskind, Chief Data Officer, Mastercard](https://www.dataiq.global/dataiq100/andrew-reiskind-chief-data-officer-mastercard/): Andrew Reiskind is Chief Data Officer at Mastercard, where he leads enterprise data strategy and governance to ensure responsible data innovation across the organization. In his role, Andrew oversees data policy, data quality, AI governance, privacy, and ethical data use, enabling Mastercard to deliver data-driven insights and products with trust at the core.  - [Ellen Nielsen, Board Advisor and CDAIO Executive](https://www.dataiq.global/dataiq100/ellen-nielsen-board-advisor-and-cdaio-executive/): Ellen Nielsen is a Board Advisor and CDAIO Executive with more than 30 years of experience spanning IT, digital transformation, procurement, supply chain, and data and AI leadership. She most recently served as Chevron’s first Chief Data Officer, where she led enterprise data strategy and transformation efforts.  - [Asha Saxena, Founder and CEO, World Leaders in Data and AI](https://www.dataiq.global/dataiq100/asha-saxena-founder-and-ceo-world-leaders-in-data-and-ai/): Asha Saxena is Founder and CEO of World Leaders in Data and AI, where she focuses on advancing data and AI leadership through global community building, education, and enterprise engagement. Her career has been shaped at the intersection of data, product, and business transformation, with a consistent focus on closing the gap between insight and action.  - [Xingchu Liu, Chief Data and Analytics Officer, Commercial, Genentech](https://www.dataiq.global/dataiq100/xingchu-liu-chief-data-and-analytics-officer-commercial-genentech/): Xingchu Liu is Chief Data and Analytics Officer, Commercial, at Genentech, where he leads digital, data, and analytics strategy to scale AI and deliver measurable impact for patients. With more than 20 years of experience, Xingchu has built his career at the intersection of data, analytics, and AI across both startups and large enterprises.  - [Van Lin, Sr Director, Strategic Alignment Office, Freddie Mac](https://www.dataiq.global/dataiq100/van-lin-sr-director-strategic-alignment-office-freddie-mac/): Van Lin is Senior Director of the Strategic Alignment Office at Freddie Mac and serves as Chief of Staff to the Single Family Data and Decisions Chief Data Officer. With more than 25 years of experience, including over two decades in leadership roles, she has built a career at the intersection of business and technology, focused on data operations, governance, and transformation.  - [Tijuana Willis, VP, CDO Governance, Zurich American Insurance Company](https://www.dataiq.global/dataiq100/tijuana-willis-vp-cdo-governance-zurich-american-insurance-company/): Tijuana Willis is Vice President of CDO Governance at Zurich American Insurance Company, where she leads governance initiatives that support enterprise data management and strategic alignment. With more than three decades at Zurich North America, Tijuana brings deep institutional knowledge and a consistent track record of delivering large-scale data programs.  - [Peter De Rama, Sr Executive Director, Technology and Digital Transformation, Destination Canada](https://www.dataiq.global/dataiq100/peter-de-rama-sr-executive-director-technology-and-digital-transformation-destination-canada/): Peter De Rama is Senior Executive Director of Technology and Digital Transformation at Destination Canada, where he leads the strategic direction and delivery of enterprise-wide technology initiatives. His remit spans enterprise architecture, digital platforms, cybersecurity, IT infrastructure, and agile solution delivery, reflecting a broad mandate to modernize capabilities while ensuring alignment with organizational priorities.  - [Michael Leal, SVP Enterprise Data Senior Manager, Truist](https://www.dataiq.global/dataiq100/michael-leal-svp-enterprise-data-senior-manager-truist/): Michael Leal is Senior Vice President and Enterprise Data Senior Manager at Truist, where he leads enterprise data initiatives focused on governance, risk management, and operational performance. With more than 15 years of experience in technology and data-driven transformation, he brings a structured, delivery-focused approach to managing complex programs within large-scale organizations.  - [Megan Brown, Director, Starbucks Data Office, Starbucks](https://www.dataiq.global/dataiq100/megan-brown-director-starbucks-data-office-starbucks/): Megan Brown is Director of the Starbucks Data Office at Starbucks, where they lead the development and execution of enterprise data strategy across key areas including data quality, governance, metadata, and data literacy. With nearly a decade at Starbucks, Megan has built a reputation for translating complex business priorities into actionable data and analytics strategies that deliver measurable impact.  - [Lorelei Chernyshov, VP Analytics, Information Leader, Synchrony](https://www.dataiq.global/dataiq100/lorelei-chernyshov-vp-analytics-information-leader-synchrony/): Lorelei Chernyshov is Vice President of Analytics and Information Lifecycle Management Leader at Synchrony, where she oversees the strategy and execution of information management practices across the organization. With more than a decade of experience in information governance and analytics, she focuses on building structured, policy-driven frameworks that balance data utility with risk, compliance, and ethical considerations.  - [Fabien Thiaucourt, Sr VP, Data Governance and Enablement, Mastercard](https://www.dataiq.global/dataiq100/fabien-thiaucourt-sr-vp-data-governance-and-enablement-mastercard/): Fabien Thiaucourt is Senior Vice President of Data Governance and Enablement at Mastercard, where he leads enterprise efforts to strengthen data governance, accessibility, and strategic use of data across the organization. With more than two decades of experience spanning data platforms, governance, and program leadership, he brings a structured, execution-focused approach to enabling data at scale.  - [Craig Lescher, Data & AI Governance Director, Sidley Austin LLP](https://www.dataiq.global/dataiq100/craig-lescher-data-ai-governance-director-sidley-austin-llp/): Craig Lescher is Data and AI Governance Director at Sidley Austin LLP, where he leads the firm’s approach to data governance and responsible AI adoption. With over a decade of experience in the insurance industry prior to moving into legal services, he brings a risk-aware, commercially grounded perspective to the design and execution of governance frameworks.  - [Amy Gromowski, VP, Head of Data Science, Cotality](https://www.dataiq.global/dataiq100/amy-gromowski-vp-head-of-data-science-cotality/): Amy Gromowski is VP, Head of Data Science at Cotality, where she leads the development and application of advanced AI and machine learning solutions across the mortgage, insurance, and real estate markets. With more than two decades of experience spanning actuarial science, product development, and analytics leadership, she brings a commercially grounded approach to data-driven innovation.  - [Akshay Vashist, ED, Data Science & AI, Otsuka America Pharmaceutical, Inc](https://www.dataiq.global/dataiq100/akshay-vashist-ed-data-science-ai-otsuka-america-pharmaceutical-inc/): Akshay Vashist is Executive Director of Data Science and AI at Otsuka America Pharmaceutical, Inc., where he leads the application of advanced analytics to support scientific innovation, strategic decision-making, and operational performance. With a career spanning multiple industries, including telecommunications, research, digital health, and pharmaceuticals, he brings a cross-sector perspective to the use of AI and data science as drivers of business value.  - [Randy Mangelsen, Co-Head of Investment Analytics, Allspring Global Investments](https://www.dataiq.global/dataiq100/randy-mangelsen-co-head-of-investment-analytics-allspring-global-investments/): Randy Mangelsen is Co-Head of Investment Analytics at Allspring Global Investments, where he focuses on advancing the firm’s ability to derive insight and value from data. While his career has been anchored in risk management, Randy has spent the majority of his professional journey working in data science and analytics within the investment domain.  - [Robert Yue, VP, Data Intelligence, AARP Services Inc.](https://www.dataiq.global/dataiq100/robert-yue-vp-data-intelligence-aarp/): Robert Yue is Vice President of Data Intelligence at AARP Services Inc., where he leads data and AI initiatives to deliver scalable, business-driven outcomes. His career has been shaped by a strong multidisciplinary foundation, combining expertise in business, statistics, and computer science. Robert holds three master’s degrees across these fields, enabling him to integrate quantitative rigor with technological depth in addressing complex challenges.  - [Susan Laine, Field Chief Technology Officer, Quest Software](https://www.dataiq.global/dataiq100/susan-laine-field-chief-technology-officer-quest-software/): Susan Laine is Field Chief Technology Officer at Quest Software, where she advises organizations on data management strategy and best practices. With over 26 years of experience in the field, Susan has built her career helping enterprises navigate the complexities of data governance, architecture and enablement.  - [Ozgur Dogan, Co-Founder, President, Americas, Blend](https://www.dataiq.global/dataiq100/ozgur-dogan-co-founder-president-americas-blend/): Ozgur Dogan is Co-Founder and President, Americas at Blend, where he leads regional growth and the application of data, analytics, and AI to drive business outcomes. His career began in data science before the discipline was widely defined, building early customer churn models using neural networks well ahead of their mainstream adoption. This experience shaped his enduring belief that the value of AI lies not in model complexity, but in its ability to influence real business decisions.  - [Nick Bonfiglio, CEO & Co-Founder, Syncari](https://www.dataiq.global/dataiq100/nick-bonfiglio-ceo-co-founder-syncari/): Nick Bonfiglio is CEO and Co-Founder of Syncari, where he leads the company’s vision to build modern data infrastructure for real-time, enterprise-scale operations. With more than 20 years of experience, Nick has built data systems at global scale across organizations including SAP, Marketo, and Adobe, where he was named a Tech Fellow, one of the company’s highest technical honors.  - [Ari Kaplan, Global Head of Evangelism, Databricks](https://www.dataiq.global/dataiq100/ari-kaplan-global-head-of-evangelism-databricks/): Ari Kaplan is Global Head of Evangelism at Databricks, where he works with organizations worldwide to advance the use of data and AI at scale. His career spans multiple waves of technological change, from early database systems and the rise of the internet to modern lakehouse architectures and AI-driven platforms.  - [Randy Bean, Founder, CEO, Advisor, Data & AI Leadership Exchange](https://www.dataiq.global/dataiq100/randy-bean-founder-ceo-advisor-data-ai-leadership-exchange/): Randy Bean is Founder and CEO of the Data and AI Leadership Exchange and a long-standing advisor to Fortune 1000 organizations on data and AI leadership. With more than four decades of experience, Randy has played a central role as a participant, observer, and thought leader in the evolution of data and AI.  - [Yuri Aguiar, SVP, Chief Technology Officer, Tokio Marine North America Services](https://www.dataiq.global/dataiq100/yuri-aguiar-svp-chief-technology-officer-tokio-marine-north-america-services/): Yuri Aguiar earns his place among North America’s top data and AI leaders by pairing deep technical experience with a clear-eyed view of what drives enterprise impact. He operates beyond the confines of pure technology leadership, focusing on how data and AI become embedded in decision-making and operational performance. His career reflects an ability to adapt early, from internet-era transformation through to applied AI in unstructured data environments. What distinguishes his approach is an emphasis on adoption over experimentation by recognizing that without strong data foundations, intuitive interfaces, and organizational alignment, AI will stall. His leadership leans heavily on communication and talent-building, translating complexity into business relevance while developing teams capable of sustaining progress. In a landscape prone to overestimating technology and underestimating execution, Aguiar’s pragmatism positions him firmly in the top tier.  - [Wendy Batchelder, Senior Vice President & Chief Data Officer, Centene Corporation](https://www.dataiq.global/dataiq100/wendy-batchelder-senior-vice-president-chief-data-officer-centene-corporation/): Wendy Batchelder is Senior Vice President and Chief Data Officer at Centene Corporation, where she leads enterprise data strategy to support business transformation and AI readiness. Her career spans financial services, technology, and healthcare, with a consistent focus on connecting data initiatives to measurable business impact.  - [Wei Manfredi, SVP, AI & Architecture, IHG Hotels and Resorts](https://www.dataiq.global/dataiq100/wei-manfredi-svp-ai-architecture-ihg-hotels-and-resorts/): Wei stands out among North America’s leading data and AI executives by pushing beyond incremental transformation towards a fundamentally different operating model. At IHG, she is re-architecting how AI is created, governed, and scaled through a unified agentic AI platform that brings visibility, control, and usability to what is often a fragmented landscape. Her career across global enterprises reflects a consistent ability to translate complex architecture into measurable business outcomes at scale. What differentiates her leadership is a dual focus on systems and culture: embedding governance and observability at the infrastructure level while simultaneously enabling non-technical teams to participate in AI creation. Her concept of an AI Creator Economy captures a broader shift many organizations are still grappling with. In a market moving past experimentation, Wei's emphasis on trust, adoption, and enterprise-wide integration places her firmly at the forefront of data and AI leadership.  - [Vishal Talwar, Executive Vice President and Chief Digital and Information Officer, FedEx Corporation; President of FedEx Dataworks, FedEx Corporation](https://www.dataiq.global/dataiq100/vishal-talwar-executive-vice-president-and-chief-digital-and-information-officer-fedex-corporation-president-of-fedex-dataworks-fedex-corporation/): Vishal Talwar is Executive Vice President and Chief Digital and Information Officer at FedEx Corporation, and President of FedEx Dataworks. He brings nearly three decades of experience leading large-scale digital transformations and helping global enterprises apply data, AI, and technology to drive competitive advantage. His career has shaped a clear perspective: successful AI leadership is not defined by technical sophistication alone, but by strong business alignment, disciplined governance, and a human-centered approach to adoption.  - [Vikram Somaya, CDAO – Chief Data & Analytics Officer, Kenvue](https://www.dataiq.global/dataiq100/vikram-somaya-cdao-chief-data-analytics-officer-kenvue/): Vikram Somaya is Chief Data and Analytics Officer at Kenvue, where he leads enterprise data and analytics strategy to support transformation across a complex global consumer goods ecosystem. His career spans startups, media, and consumer packaged goods, giving him a broad perspective on how data and AI can drive business change.  - [Vijay Rajandram, Chief Data Officer, Northern Trust Asset Management](https://www.dataiq.global/dataiq100/vijay-rajandram-chief-data-officer-northern-trust-asset-management/): Vijay Rajandram is Chief Data Officer at Northern Trust Asset Management, where he leads data and AI strategy to drive innovation, strengthen governance, and enable a more data-driven organization. With more than 25 years of experience, Vijay has built a career focused on delivering transformative outcomes across both Fortune 500 companies and start-ups.  - [Venkat Gopalan, Chief Digital, Data & Technology Officer, Belcorp](https://www.dataiq.global/dataiq100/venkat-gopalan-chief-digital-data-technology-officer-belcorp-2/): Venkat Gopalan is Chief Digital, Data and Technology Officer at Belcorp, where he leads enterprise transformation across digital, data, and technology to drive growth and operational performance. With more than 25 years of experience, Venkat has built his career at the intersection of technology, business strategy, and human behavior.  - [Ursula Cottone, Chief Data and Architecture Officer, Huntington Bank](https://www.dataiq.global/dataiq100/ursula-cottone-chief-data-and-architecture-officer-huntington-bank/): Ursula Cottone is Chief Data and Architecture Officer at Huntington Bank, where she leads the enterprise data and architecture strategy with a focus on driving business value through disciplined governance, modern platforms, and cultural transformation.  - [Tifani McCann, VP, Data & Analytics, Otsuka Pharmaceutical](https://www.dataiq.global/dataiq100/tifani-mccann-vp-data-analytics-otsuka-pharmaceutical/): Tifani McCann is Vice President of Data and Analytics at Otsuka Pharmaceutical, where she leads enterprise data and AI strategy to support innovation and improved patient outcomes. Her career has been shaped by a strong foundation in problem-solving, rooted in an early interest in puzzles that evolved into a passion for using data to inform real-world decisions.  - [Tarun Sood, Chief Data and AI Officer, American Century Investments](https://www.dataiq.global/dataiq100/tarun-sood-chief-data-and-ai-officer-american-century-investments/): Tarun Sood is Chief Data and AI Officer at American Century Investments, where he leads enterprise data and AI strategy to drive business growth, operational efficiency, and better decision-making. His leadership has been defined by a focus on building scalable, trusted data capabilities that deliver measurable outcomes.  - [Sushma Punuru, EVP, Chief Data Officer, Global Payments](https://www.dataiq.global/dataiq100/sushma-punuru-evp-chief-data-officer-global-payments/): Sushma Punuru is Executive Vice President and Chief Data Officer at Global Payments, where she leads the company’s data and AI strategy with a focus on business outcomes, growth, and customer impact.  - [Stefanie Khan, Director of Business Intelligence & Advanced Analytics, UPS](https://www.dataiq.global/dataiq100/stefanie-khan-director-of-business-intelligence-advanced-analytics-ups/): Stefanie Khan is Director of Business Intelligence & Advanced Analytics at UPS, where she leads data and AI initiatives at the intersection of technology, analytics, and human-centered decision-making. Her career began in hands-on analytical roles, where she built a strong technical foundation before moving into senior leadership positions focused on scaling enterprise data capabilities and guiding complex transformation efforts.  - [Shivanku Misra, Vice President, Advanced Analytics & AI, McKesson](https://www.dataiq.global/dataiq100/shivanku-misra-vice-president-advanced-analytics-ai-mckesson/): Shivanku Misra is Vice President of Advanced Analytics and AI at McKesson, where he leads enterprise-wide AI and analytics initiatives in one of the most highly regulated and mission-critical sectors.  - [Scott Richardson, Chief Data & Analytics Officer, First Citizens Bank](https://www.dataiq.global/dataiq100/scott-richardson-chief-data-analytics-officer-first-citizens-bank/): Scott’s standing among North America’s leading data and AI executives rests on a career that combines longevity with repeated, tangible reinvention as few leaders have operated across as many layers of the data stack. What distinguishes his leadership is a consistent focus on commercial outcomes by aligning data and AI investments with P&L drivers, embedding analytics into core operations, and ensuring transformation programs survive beyond initial rollout. His work applying GenAI to marketing transformation reflects a pragmatic approach of sequencing change in line with organizational readiness instead of chasing novelty. In a sector where complexity and regulation often slow progress, Scott’s ability to couple execution discipline with a business owner’s mindset marks him out as a leader who turns data ambition into sustained enterprise value.  - [Sandeep Mahajan, Director, Data Science, Walmart](https://www.dataiq.global/dataiq100/sandeep-mahajan-director-data-science-walmart/): Sandeep Mahajan is Director of Data Science at Walmart, where he works at the intersection of operations, data, and people to deliver AI and analytics that change how work gets done at scale. His career has been shaped by the belief that technology only creates value when it is grounded in real workflows and adopted on the front line.  - [Saba Beyene, Vice President of Customer Intelligence , American Airlines](https://www.dataiq.global/dataiq100/saba-beyene-vice-president-of-customer-intelligence-american-airlines/): Saba Beyene is Vice President of Customer Intelligence at American Airlines, where she leads personalization, customer segmentation, and data platform modernization initiatives that drive measurable commercial impact.  - [Ryan Swann, Chief Data Analytics Officer, Vanguard](https://www.dataiq.global/dataiq100/ryan-swann-chief-data-analytics-officer-vanguard-2/): Ryan Swann is Chief Data Analytics Officer at Vanguard, where he leads enterprise data and analytics strategy to drive business outcomes, manage risk, and strengthen client trust. His career spans both public and private sectors, shaped by work in high-stakes environments where data plays a critical role in decision-making.  - [Ronke Ekwensi, Global Chief Data Officer, Applied Materials](https://www.dataiq.global/dataiq100/ronke-ekwensi-global-chief-data-officer-applied-materials/): Ronke Ekwensi is Global Chief Data Officer at Applied Materials, where she leads enterprise data strategy to advance data maturity and enable scalable analytics and AI across the organization. With more than 25 years of cross-industry experience, Ronke has built a career focused on driving transformation through data governance, strategy, and workforce enablement.  - [Richard Leaton, Vice President – Data, Analytics, and AI, Novelis](https://www.dataiq.global/dataiq100/richard-leaton-vice-president-data-analytics-and-ai-novelis/): Richard Leaton is Vice President of Data, Analytics, and AI at Novelis, where he leads the enterprise Data, AI, and Analytics Center of Excellence for the company’s global operations. With more than 20 years of experience, Richard has built his career at the intersection of manufacturing, enterprise transformation, and data strategy.  - [Richard Floyd, Chief Data & AI Officer, City National Bank](https://www.dataiq.global/dataiq100/richard-floyd-chief-data-ai-officer-city-national-bank/): Richard Floyd is Chief Data and AI Officer at City National Bank, where he leads data strategy, governance, and AI initiatives to support business transformation and risk management. His career spans diverse sectors, including service in the US Marine Corps, retail, and financial services, shaping a leadership approach grounded in discipline, adaptability, and results.  - [Remzil Jacob, CDO – Americas and US Consumer Bank, Barclays](https://www.dataiq.global/dataiq100/remzil-jacob-cdo-americas-and-us-consumer-bank-barclays/): Remzil Jacob is Chief Data Officer for the Americas and the US Consumer Bank at Barclays, bringing nearly 30 years of experience in technology-enabled business transformation across banking, finance, and enterprise data.  - [Ramnik Bajaj, Chief Data Analytics & Artificial Intelligence Officer, USAA](https://www.dataiq.global/dataiq100/ramnik-bajaj-chief-data-analytics-artificial-intelligence-officer-usaa/): Ramnik Bajaj is Chief Data, Analytics, and Artificial Intelligence Officer at USAA, where he leads enterprise data and AI strategy in support of the organization’s mission to serve its members. His approach is grounded in the belief that data and AI must deliver value both in everyday interactions and in the critical “moments that matter” for customers.  - [Rajiv Kolagani, CDAIO, Lurie Children’s Hospital](https://www.dataiq.global/dataiq100/rajiv-kolagani-cdaio-lurie-childrens-hospital/): Rajiv Kolagani is Chief Data and AI Officer at Lurie Children’s Hospital, where he leads enterprise data and AI strategy to improve clinical quality, operational performance, and patient engagement. With more than two decades of experience in the healthcare industry, Rajiv has built a career focused on applying data and analytics to drive meaningful outcomes across both provider and payer organizations.  - [Rajesh Sura, Head of Data Engineering and Analytics, Amazon](https://www.dataiq.global/dataiq100/rajesh-sura-head-of-data-engineering-and-analytics-amazon/): Rajesh Sura is Head of Data Engineering and Analytics at Amazon, where he leads data and decision intelligence capabilities for North America Stores. His work sits at the heart of one of the world’s most complex commercial environments, supporting tens of thousands of users and influencing business decisions tied to hundreds of billions of dollars in annual revenue.  - [Paul Ballew, Chief Data & Analytics Officer, The National Football League](https://www.dataiq.global/dataiq100/paul-ballew-chief-data-analytics-officer-the-national-football-league/): Paul Ballew is Chief Data and Analytics Officer at the National Football League (NFL), where he leads the league’s data and analytics strategy. With more than 30 years of experience building and scaling data and analytics organizations across multiple industries, he is recognized for aligning analytics capabilities with real business outcomes.  - [Patrick Duroseau, Chief Data AI Officer, Under Armour Inc](https://www.dataiq.global/dataiq100/patrick-duroseau-chief-data-ai-officer-under-armour-inc/): Patrick Duroseau is Chief Data AI Officer at Under Armour Inc., where he leads enterprise data management, analytics, and AI across governance, data engineering, business intelligence, and advanced analytics. His career has been defined by a shift from delivering insights through reports and dashboards to building durable, enterprise-scale data and AI capabilities that drive sustained business value.  - [Olivia Kew, Chief Data Officer, Vanderbilt University](https://www.dataiq.global/dataiq100/olivia-kew-chief-data-officer-vanderbilt-university/): Olivia Kew is Chief Data Officer at Vanderbilt University, bringing a distinctive, strategy-led perspective to data leadership in higher education. She began her career in international development, working with Ukraine and other countries alongside international agencies, before moving into higher education in the early 2000s. Her early university roles focused on international programs and strategic institutional initiatives, spanning both the United States and the United Kingdom, and gave her deep insight into the complexity of how universities operate.  - [Mike Vaughan, Chief Data Officer, Brown & Brown](https://www.dataiq.global/dataiq100/mike-vaughan-chief-data-officer-brown-brown/): Mike has secured his spot as a top data and AI leader in North America with a career grounded in sustained, cross-industry execution. With over three decades spanning diverse sectors, he brings a pragmatic understanding of how data translates into operational improvement and commercial impact. At Brown & Brown, his focus on deploying and embedding AI by connecting disparate business units, improving product visibility, and enabling better decision-making at scale has been inspirational. What sets Mike apart is his emphasis on culture with building data literacy, fostering cross-functional teams, and investing in people as the real drivers of adoption. In an industry still grappling with fragmented implementation, his ability to align technology, teams, and business outcomes marks him out as a leader delivering durable impact.  - [Meenal Iyer, VP, Data, Surveymonkey](https://www.dataiq.global/dataiq100/meenal-iyer-vp-data-surveymonkey-2/): Meenal Iyer is Vice President, Data at SurveyMonkey and a data and AI leader with more than 25 years of experience building and scaling data-driven organizations across multiple industries. Her work focuses on helping companies translate data into measurable business outcomes by improving both speed to insight and speed to action.  - [Meaghan Ferrigno, Senior Vice President, CFO & CDAO, Destination Canada](https://www.dataiq.global/dataiq100/meaghan-ferrigno-senior-vice-president-cfo-cdao-destination-canada/): Meaghan’s position among North America’s leading data and AI executives is defined by her ability to move beyond capability-building into sector-wide impact. Meaghan was previously listed in the DataIQ 100 list for 2024, 2025, and was crowned Data and AI Leader of the Year (Client-Side) at the 2025 DataIQ Awards North America. Under Meaghan’s leadership, Destination Canada won Transformation with Data and AI (Client-Side) in 2025 and the Best Use of AI for Not-For-Profit or Non-Commercial Purposes in 2024. She operates with dual accountability as CFO and CDAO, embedding data and AI directly into financial strategy, performance management, and national competitiveness. Meaghan recognizes that the barrier to value is rarely technical; her focus on culture, trust, and decision velocity addresses where most organizations stall. In a field still maturing, her ability to align data, finance, and strategy into a single operating model marks her out as a genuine transformation leader.  - [Mark Birkhead, Managing Director and Firmwide Chief Data Officer, JPMorgan Chase](https://www.dataiq.global/dataiq100/mark-birkhead-managing-director-and-firmwide-chief-data-officer-jpmorgan-chase/): Mark Birkhead is Managing Director and Firmwide Chief Data Officer at JPMorgan Chase, where he leads the development and execution of the firm’s global data strategy. He is responsible for maximizing the value and impact of data across the organization, advancing a culture of data-driven decision-making that benefits customers and clients worldwide.  - [Manish Agarwal, Vice President, Data & Analytics, Skechers](https://www.dataiq.global/dataiq100/manish-agarwal-vice-president-data-analytics-skechers/): Manish Agarwal is Vice President of Data and Analytics at Skechers, where he leads enterprise data, analytics, and AI initiatives to drive scale, speed, and business impact.  - [Luke Gee, Chief Analytics & AI Officer, TD Bank Group](https://www.dataiq.global/dataiq100/luke-gee-chief-analytics-ai-officer-td-bank-group/): Luke Gee is Chief Analytics and AI Officer at TD Bank Group, where he leads the transformation of analytics and artificial intelligence to reshape how clients experience financial services. He brings together deep expertise in financial services, data, advanced analytics, and AI with a mission to make banking simpler, faster, and more intuitive, with a high standard for responsible and ethical AI.  - [Kumar Singirikonda, Director of DevOps Engineering, Toyota](https://www.dataiq.global/dataiq100/kumar-singirikonda-director-of-devops-engineering-toyota/): Kumar Singirikonda is Director of DevOps Engineering at Toyota, where he leads efforts to build scalable, reliable platforms that enable data-driven decision-making and operational excellence. His career has been shaped by a deep curiosity about how data, platforms, and automation can transform organizations at scale.  - [Kristen Bessette, Chief Data Officer, Zurich US](https://www.dataiq.global/dataiq100/kristen-bessette-chief-data-officer-zurich-us/): Kristen Bessette is Chief Data Officer at Zurich US, where she leads enterprise data management, advanced analytics, and AI capabilities to support business performance and innovation. Her career began in actuarial science, progressing through increasingly senior roles, including Chief Actuary for multiple business units. This early experience as a business leader and internal consumer of data and analytics has shaped her perspective on how data teams can deliver the greatest impact.  - [Krishna Cheriath, VP, Head of Digital and AI (CDAIO), Biopharma Services, ThermoFisher Scientific](https://www.dataiq.global/dataiq100/krishna-cheriath-vp-head-of-digital-and-ai-cdaio-biopharma-services-thermofisher-scientific/): Krishna Cheriath is Vice President and Head of Digital and AI (CDAIO) for Biopharma Services at Thermo Fisher Scientific, where he leads digital and AI strategy across a $15 billion global division focused on transforming drug development. With more than 30 years of experience across consulting, technology, and executive leadership in life sciences and healthcare, Krishna brings a pragmatic, business-first perspective to data and AI leadership.  - [Kendell Timmers, SVP, Data Analysis, Science, and Insight, CNN](https://www.dataiq.global/dataiq100/kendell-timmers-svp-data-analysis-science-and-insight-cnn/): Kendell Timmers is Senior Vice President of Data Analysis, Science, and Insight at CNN, where she leads efforts to translate data into strategic decision-making and measurable business impact. With a career spanning airlines, finance, and publishing, she brings a broad industry perspective and a consistent focus on using analytics to drive growth, improve efficiency, and sharpen organizational performance.  - [Katya Andresen, Chief Digital & Analytics Officer, The Cigna Group](https://www.dataiq.global/dataiq100/katya-andresen-chief-digital-analytics-officer-the-cigna-group/): Katya Andresen is Chief Digital and Analytics Officer at The Cigna Group, where she leads efforts to harness data, advanced analytics, and digital innovation to improve health outcomes and expand access to care. Her career has spanned industries and continents, shaped by a consistent focus on how people and technology intersect, constructively and at times imperfectly, to drive meaningful change.  - [Justin Heller, Executive Advisor & Former Chief Data Officer](https://www.dataiq.global/dataiq100/justin-heller-chief-data-officer-synchrony-financial/): Justin Heller is a DataIQ advisor and was most recently Chief Data Officer at Synchrony Financial, with more than 30 years of experience working at the intersection of business processes, technology, and data-driven transformation. His career has been defined by building enterprise capabilities that strengthen governance while enabling innovation at scale.  - [Judith Apshago, Chief Digital Officer, Amtrak](https://www.dataiq.global/dataiq100/judith-apshago-chief-digital-officer-amtrak/): Judith Apshago is Chief Digital Officer at Amtrak, where she leads the organization’s digital transformation agenda with a focus on delivering measurable business and customer outcomes.  - [Joshua Paul Nafman, VP, Data, Diageo](https://www.dataiq.global/dataiq100/joshua-paul-nafman-vp-data-diageo/): Joshua Paul Nafman is Vice President of Data at Diageo, where he brings an unconventional but highly complementary blend of creative, marketing, and data leadership experience. His career began in the creative agency world, where he spent a decade working across creative, media, and production for global brands including Apple and Pepsi. During this time, he helped produce high-profile campaigns such as Apple’s iconic “Mac versus PC” ads and major brand rebrands, developing a deep appreciation for storytelling, craft, and audience engagement.  - [Jonathan Hay, SVP, Business Strategy & Analytics, Boston Red Sox](https://www.dataiq.global/dataiq100/jonathan-hay-svp-business-strategy-analytics-boston-red-sox/): Jonathan Hay is Senior Vice President of Business Strategy & Analytics for the Boston Red Sox, where he leads the organization’s use of data and analytics to drive business performance and support the club’s broader success. Originally born in Australia, Jonathan moved to Boston with his family at the age of six and grew up immersed in the city’s sports culture.  - [John Rogers, Chief Data & Analytics Officer, Cotality](https://www.dataiq.global/dataiq100/john-rogers-chief-data-analytics-officer-cotality/): John Rogers is Chief Data and Analytics Officer at Cotality, where he leads the company’s data and analytics strategy to support business transformation and smarter decision-making. Over the course of his career, John has worked across the globe, contributing to large-scale transformation initiatives from Karachi to Kuala Lumpur and from Melbourne to Milan.  - [Jim Young, Global Chief Data Officer, American International Group (AIG)](https://www.dataiq.global/dataiq100/jim-young-global-chief-data-officer-american-international-group-aig/): Jim Young is Global Chief Data Officer at American International Group (AIG), where he leads the architecture, development, and advancement of the company’s global data and analytics capabilities. With more than 25 years of experience across banking, consulting, and insurance, Jim has built a career focused on translating data strategy into measurable business outcomes.  - [JC Lionti, Chief Data Officer, Mizuho Americas](https://www.dataiq.global/dataiq100/jc-lionti-chief-data-officer-mizuho-americas/): JC Lionti is Chief Data Officer at Mizuho Americas, bringing more than 25 years of experience across financial services, finance transformation, data, and AI leadership. He began his career at Deloitte, building a strong foundation in audit and advisory work that instilled a deep respect for rigor, controls, and transparency. Early exposure to large-scale financial reporting, regulatory programs, and complex post-merger integrations shaped his conviction that sustainable performance depends on strong operational and data foundations.  - [Jane Rheem, Chief Data & AI Officer, Sidley Austin LLP](https://www.dataiq.global/dataiq100/jane-rheem-chief-data-ai-officer-sidley-austin-llp/): Jane is becoming a mainstay in the DataIQ 100 North America Top Ten as she secures a third consecutive place in the upper echelon of data and AI leaders. Jane is renown as data and AI leader who consistently turns vision into enterprise value. As Chief Data and AI Officer, Jane has redeveloped and continuously shaped the organization’s AI strategy and embedded it within decision-making processes across the business to great effect, and her track record shows a consistent focus on building capabilities that endure. Jane's work around coupling modern data platforms with governance, operating models, and cross-functional alignment, ensuring AI is both scalable and trusted is testament to her abilities, and her approach reflects a broader shift in the role, from experimentation to accountable delivery of measurable value.  - [Ido Biger, CIO & CDO, Delek US Holdings](https://www.dataiq.global/dataiq100/ido-biger-cio-cdo-delek-us-holdings/): Ido Biger is a seasoned technology and data executive with more than 20 years of experience leading enterprise data, analytics, and digital transformations across multiple industries and geographies. He began his career as a data engineer and BI developer specializing in financial solutions, before progressing into senior roles leading data warehouse, business intelligence, and analytics initiatives as a project manager and data leader in Israel, New York, and Nashville.  - [Goutham Budati, VP, Data Strategy and Insights, The Farmer’s Dog](https://www.dataiq.global/dataiq100/goutham-budati-vp-data-strategy-and-insights-the-farmers-dog/): Goutham Budati is Vice President of Data Strategy and Insights at The Farmer’s Dog, where he leads data engineering, data science, analytics, and consumer research to drive business impact. His career has been shaped by leadership roles that provided deep business context before transitioning into data strategy, influencing his pragmatic, outcome-focused approach.  - [Gaurav Rastogi, Senior Director – Enterprise Data Analytics and Business Intelligence, Hertz Corporation](https://www.dataiq.global/dataiq100/gaurav-rastogi-senior-director-enterprise-data-analytics-and-business-intelligence-hertz-corporation/): Gaurav Rastogi is Senior Director of Enterprise Data Analytics and Business Intelligence at Hertz Corporation, where he leads global analytics capabilities focused on delivering trusted, scalable, and business-critical insights. His career began on the front lines of technology, resolving high-severity production issues that could halt operations across different enterprises. Those early experiences instilled discipline, calm decision-making under pressure, and a deep appreciation for building simple, reliable solutions to complex problems.  - [Ganesh Sivakumar, Global Chief Data, Analytics & AI Officer, Mead Johnson Nutrition](https://www.dataiq.global/dataiq100/ganesh-sivakumar-global-chief-data-analytics-ai-officer-mead-johnson-nutrition/): Ganesh Sivakumar is Global Chief Data, Analytics, and AI Officer at Mead Johnson Nutrition, where he leads the enterprise data and AI agenda to drive trusted, scalable decision-making.  - [Gagandeep Singh Chahal, Vice President, Data & Analytics, Regions Bank](https://www.dataiq.global/dataiq100/gagandeep-singh-chahal-vice-president-data-analytics-regions-bank/): Gagandeep Singh Chahal is Vice President of Data and Analytics at Regions Bank, with more than 15 years of experience spanning business intelligence, data engineering, analytics, and AI leadership. His career began with building BI solutions that transformed raw operational data into actionable, decision-ready insights, enabling business teams to rely on consistent and trusted reporting.  - [Franziska Bell, Chief AI, Data and Analytics Officer, Ford Motor Company](https://www.dataiq.global/dataiq100/franziska-bell-chief-ai-data-and-analytics-officer-ford-motor-company/): Franziska Bell is Chief AI, Data and Analytics Officer at Ford Motor Company, where she leads the enterprise strategy for data, analytics, and AI. Her career has been defined by delivering large-scale digital and cultural transformations across five industries, scaling advanced technologies to drive billions in EBIT, strengthen operational safety, and significantly improving developer productivity.  - [Fernando Schwartz, Chief AI Officer, Claritev](https://www.dataiq.global/dataiq100/fernando-schwartz-chief-ai-officer-claritev/): Fernando Schwartz is Chief AI Officer at Claritev, where he leads efforts to translate advances in data and artificial intelligence into durable business value. His career has been defined by a consistent focus on moving AI from experimentation to real-world adoption, embedding it into decisions, products, and operating models at scale.  - [Elyas Achkar, SVP and Head of AI and General Manager, GIA, Globalizations Partners](https://www.dataiq.global/dataiq100/elyas-achkar-svp-and-head-of-ai-and-general-manager-gia-globalizations-partners/): Elyas Achkar is Senior Vice President and Head of AI, and General Manager, GIA, at Globalization Partners (G-P), where he leads the development and application of AI to drive product innovation and business outcomes. His career has been defined by a consistent focus on translating advanced technology into practical solutions that create measurable value.  - [Dr Paul Pallath, Chief Data & AI Officer, GoFundMe](https://www.dataiq.global/dataiq100/dr-paul-pallath-chief-data-ai-officer-gofundme/): Dr Paul Pallath is Chief Data and AI Officer at GoFundMe, where he leads the organization’s data and AI strategy to enhance product experience, trust, and impact at scale. With more than 25 years of global experience, Paul has built and scaled data and AI capabilities across Fortune 500 companies including Levi Strauss & Co., Vodafone, SAP, Intuit, and Pitney Bowes.  - [Diana Schildhouse, EVP, Chief Data & Analytics Officer, Colgate-Palmolive](https://www.dataiq.global/dataiq100/diana-schildhouse-evp-chief-data-analytics-officer-colgate-palmolive/): Diana’s efforts have once again secured her a Top Ten seat in the North America listings. She has been a mainstay for the past four years and ranked as the Number One data and AI leader in North America in 2023. Diana is undoubtedly a defining voice, both within her organization and across the wider data and AI community as she brings a rare blend of business acumen and technical fluency that cuts through the noise. Diana is an active member of the DataIQ community and is a regular panelist at DataIQ events. Her consistent contributions reflect expertise and generosity, offering first-hand insights into what AI-driven transformation really takes to succeed in the real world. At Colgate-Palmolive, Diana has embedded data and AI, directly shaping how products are developed, marketed, and experienced by consumers across numerous geographies, taking the organization to the next level.   - [Deval Motka, Chief Data Officer, Genesco Inc.](https://www.dataiq.global/dataiq100/deval-motka-chief-data-officer-genesco-inc/): Deval Motka is Chief Data Officer at Genesco Inc. and a business-driven technologist with 25 years of experience leading large, data-driven organizations across retail, healthcare, and manufacturing. Throughout her career, she has built and led high-performing teams that embed data and analytics into the core of business strategy and execution.  - [Deepak Jose, Vice President of Data and Decision Intelligence, Niagara Bottling](https://www.dataiq.global/dataiq100/deepak-jose-vice-president-of-data-and-decision-intelligence-niagara-bottling/): Deepak Jose is Vice President of Data and Decision Intelligence at Niagara Bottling, where he leads the application of analytics and AI with a clear value-first mandate: driving measurable P&L impact, customer experiences, and sustainable growth.  - [Deep Ratna Srivastav, Chief AI Officer, Franklin Templeton Investments](https://www.dataiq.global/dataiq100/deep-ratna-srivastav-chief-ai-officer-franklin-templeton-investments/): Deep Ratna Srivastav is Chief AI Officer at Franklin Templeton Investments, where he leads the firm’s enterprise AI strategy with a sharp focus on ROI, full-scale transformation, and applied innovation. His career has been shaped by three guiding beliefs: relentless commercial focus, a conviction that digital, data, and AI must be grounded in domain expertise, and a commitment to staying ahead of the curve.  - [Danielle Conklin, SVP, Portfolio Technology & Innovations, Blackstone](https://www.dataiq.global/dataiq100/danielle-conklin-svp-portfolio-technology-innovations-blackstone/): Danielle Conklin is a Senior Vice President on Blackstone’s Portfolio Technology Optimization team, where she focuses on accelerating technology modernization and innovation across the firm’s portfolio. She brings more than 20 years of experience leading enterprise data modernization, AI innovation, and large-scale digital transformation across financial services and insurance.  - [Christopher Satchell, Managing Director Digital & Technology, CD&R](https://www.dataiq.global/dataiq100/christopher-satchell-managing-director-digital-technology-cdr/): Christopher Satchell is Managing Director of Digital and Technology at Clayton, Dubilier & Rice (CD&R), where he applies his experience across multiple industries to drive technology, data, and AI transformation across a portfolio of companies. His career spans senior leadership roles at some of the world’s most recognized organizations, combining deep technical expertise with a strong focus on business outcomes.  - [Chris Gifford, Chief Data Officer, American Express](https://www.dataiq.global/dataiq100/chris-gifford-chief-data-officer-american-express/): Chris Gifford is Chief Data Officer at American Express, where he leads enterprise data strategy, governance, and platform modernization. Having previously served as Deputy Chief Data Officer, Chris brings deep experience in building and scaling data capabilities within highly regulated financial services environments.  - [Chas Murphy, Senior Vice President, Data & Analytics, DTC, The Walt Disney Company](https://www.dataiq.global/dataiq100/chas-murphy-senior-vice-president-data-analytics-dtc-the-walt-disney-company/): Chas Murphy is Senior Vice President of Data & Analytics at The Walt Disney Company, where he leads data strategy across its streaming portfolio. A seasoned analytics executive, he has built a career leveraging data science, analytics, strategy, and research to deliver measurable business impact across media, entertainment, and automotive sectors.  - [Chandra Donelson, Chief Data and AI Officer, United States Space Force](https://www.dataiq.global/dataiq100/chandra-donelson-chief-data-and-ai-officer-united-states-space-force-2/): Chandra Donelson is Chief Data and AI Officer for the United States Space Force, where she leads enterprise data and AI strategy in support of national defense operations. Her career in data and AI has been shaped by extensive experience within the Department of Defense, where she has focused on applying technology to strengthen decision-making, operational effectiveness, and mission readiness.  - [Chandhu Nair, Senior Vice President, Stores, Data, Artificial Intelligence and Innovation, Lowe’s](https://www.dataiq.global/dataiq100/chandhu-nair-senior-vice-president-stores-data-artificial-intelligence-and-innovation-lowes/): Chandhu Nair is Senior Vice President of Stores, Data, Artificial Intelligence and Innovation at Lowe’s, where he leads enterprise efforts to embed data and AI into core retail operations and customer experiences. His career has been shaped by working at the intersection of scale, complexity, and real-world impact, primarily within large global organizations where data is abundant, and decisions carry meaningful consequences.  - [Chaitanya Garikapati, Head of Data & Analytics, MARS Petcare](https://www.dataiq.global/dataiq100/chaitanya-garikapati-head-of-data-analytics-mars-petcare/): Chaitanya Garikapati is Head of Data and Analytics at Mars Petcare, where he leads enterprise data, analytics, and AI capabilities with a focus on driving measurable business outcomes.  - [Bryce Macher, VP, AI Engineering, FanDuel](https://www.dataiq.global/dataiq100/bryce-macher-vp-decision-science-dominos/): Bryce Macher is Vice President of AI Engineering at FanDuel, where he leads the application of AI and advanced analytics to accelerate decision-making across the enterprise. His career has been guided by a central question: how can behavioral signals and AI be translated into faster, higher-confidence decisions that drive measurable outcomes?  - [Bharathi Rajan, Vice President – Data, AI & Digital, Swire Coca-Cola, USA](https://www.dataiq.global/dataiq100/bharathi-rajan-vice-president-data-ai-digital-swire-coca-cola-usa/): Bharathi was first named Number Five in the 2025 DataIQ 100 North America listing and has continued to show exceptional prowess as a data and AI leader in 2026. She is a data leader bringing business insight and technical expertise to the forefront of enterprise transformation, as well as exemplifying a leader who effortlessly turns data into measurable business impact. Her work in the role of Vice President of Data and Insights at Swire Coca-Cola and a board member has elevated data and AI from a support function to a strategic lever, shaping decisions across every aspect of the business. Her ability to align data initiatives with commercial goals, secure executive sponsorship, and lead on responsible AI and governance makes her a standout voice in a fast-evolving field.   - [Bhagyesh Phanse, Chief Data & Analytics Officer, Starbucks Coffee Company](https://www.dataiq.global/dataiq100/bhagyesh-phanse-chief-data-analytics-officer-starbucks-coffee-company/): Bhagyesh Phanse is Chief Data and Analytics Officer at Starbucks Coffee Company, where he leads global data strategy and advanced AI development to drive customer engagement, operational efficiency, and business growth. With more than 18 years of experience, Bhagyesh has built his career transforming data and analytics capabilities within large, customer-focused organizations.  - [Ashok Chennuru, Chief Data & Digital AI Transformation Officer, Elevance Health](https://www.dataiq.global/dataiq100/ashok-chennuru-chief-data-digital-ai-transformation-officer-elevance-health/): Ashok Chennuru is Chief Data and Digital AI Transformation Officer at Elevance Health, where he leads enterprise data, analytics, and AI initiatives to address complex challenges across the healthcare ecosystem. With more than three decades of experience, Ashok has built his career at the intersection of data, technology, and large-scale transformation.  - [Ash Dhupar, Chief AI & Data Officer, Honeywell Aerospace](https://www.dataiq.global/dataiq100/ash-dhupar-chief-ai-data-officer-honeywell-aerospace/): Ash Dhupar is Chief AI & Data Officer at Honeywell Aerospace, where he leads enterprise data and AI strategy to drive business impact and operational performance. His career has been shaped by a focus on solving meaningful business problems, often stepping into organizations where ambition outpaced the supporting data and AI foundations.  - [Aravind “Jag” Jagannathan, Senior Vice Present, Single-Family Chief Data Officer, Freddie Mac](https://www.dataiq.global/dataiq100/aravind-jag-jagannathan-senior-vice-present-single-family-chief-data-officer-freddie-mac/): Aravind “Jag” Jagannathan serves as Senior Vice President and Single-Family Chief Data Officer at Freddie Mac, where he leads a team of more than 500 professionals responsible for data strategy, governance, data asset management, integration, data product ownership, and business intelligence. He focuses on using data to power customer-centric innovation, streamline operations, and strengthen Freddie Mac’s competitive position.  - [Anu Krishnan, Chief Data & Analytics Officer, Chevron](https://www.dataiq.global/dataiq100/anu-krishnan-chief-data-analytics-officer-chevron/): Paul Hatley, Chief Research and Product Officer, DataIQ: “DataIQ’s Number One recognizes a form of leadership that goes well beyond technical execution. It is in Anu Krishnan, Chief Data and Analytics Officer at Chevron, that we see a leader who has consistently combined industrial depth with a clear-eyed understanding of how data and AI create value at scale.  - [Anu Bedi, VP Measurement, Insights, Data and Analytics, LinkedIn](https://www.dataiq.global/dataiq100/anu-bedi-vp-measurement-insights-data-and-analytics-linkedin/): Anu Bedi is Vice President of Measurement, Insights, Data and Analytics at LinkedIn, where she leads efforts to modernize how marketing performance is measured, understood, and activated through data and AI. Her career has been shaped at the intersection of marketing, data, and technology, with a consistent focus on turning complexity into clear, actionable insights.  - [Ankit Goel, Chief Data & Analytics Officer, KeyBank](https://www.dataiq.global/dataiq100/ankit-goel-chief-data-analytics-officer-keybank/): Ankit Goel is Chief Data and Analytics Officer at KeyBank, where he leads enterprise data and analytics strategy to support sustainable, profitable growth. His career has been defined by a consistent focus on delivering business value through a combination of advanced technology, process improvement, and practical execution.  - [Andrew Foster, Chief Data Officer, M&T Bank](https://www.dataiq.global/dataiq100/andrew-foster-chief-data-officer-mt-bank-2/): Andrew Foster is Chief Data Officer at M&T Bank. His career spans three continents and major financial centers, including London and New York. That international experience has shaped a pragmatic, globally informed approach to data leadership.  - [Anand Shenoy, Global Chief Data Officer, Mars](https://www.dataiq.global/dataiq100/anand-shenoy-global-chief-data-officer-mars/): Anand Shenoy is Global Chief Data Officer at Mars, where he leads enterprise data, analytics, and AI strategy across global business functions and regions. With more than two decades of experience, Anand has built and scaled data capabilities within global corporations and Fortune 50 enterprises, focusing on driving enterprise value through data-driven transformation.  - [Amy Lenander, Chief Data Officer, Capital One](https://www.dataiq.global/dataiq100/amy-lenander-chief-data-officer-capital-one-2/): Amy Lenander is Chief Data Officer at Capital One, where she leads the company’s enterprise data platforms, products, and data management strategy that serves more than 100 million customers. Over a 20-plus-year career at Capital One, she has held a series of senior business leadership roles in a bank founded on the belief that data and analytics should power core decisions.  - [Amit Patel, Chief Data Officer – Wholesale Bank, Truist](https://www.dataiq.global/dataiq100/amit-patel-chief-data-officer-wholesale-bank-truist/): Amit Patel stands out as a leading data and AI executive in North America because of his consistent track record of operationalizing AI in environments where failure is not an option. As CDO, he is working at the sharp end of regulatory, commercial, and technological complexity, building data foundations that are not only scalable but defensible under scrutiny. His career trajectory reflects a rare combination of strategic vision and delivery discipline. What differentiates his leadership is a clear bias towards value with initiatives that demonstrate how he ties data architecture, governance, and AI readiness directly to tangible business outcomes. His emphasis on pacing signals maturity in AI leadership conversations. In a market still prone to over-indexing on experimentation, Amit's approach anchors data and AI firmly within business accountability, making him a credible voice among peers navigating similar tensions between innovation, risk, and long-term value creation. Truist joined the DataIQ network in 2024.  - [Amin Venjara, Chief Data Officer, ADP](https://www.dataiq.global/dataiq100/amin-venjara-chief-data-officer-adp-2/): Amin Venjara is Chief Data Officer at ADP, where he leads the company’s data strategy and oversees the creation of data products that deliver value to clients while maintaining the highest standards of security, compliance, and ethics.  - [Abhishek Dasoar, Director, Advanced Analytics, Airbnb](https://www.dataiq.global/dataiq100/abhishek-dasoar-director-advanced-analytics-airbnb/): Abhishek Dasoar is Director of Advanced Analytics at Airbnb, where he leads data and AI initiatives focused on driving business impact across the platform. His career has evolved from hands-on analytics and engineering into leading large-scale data and AI transformations at global consumer and marketplace companies.  - [Abhi Seth, Chief Enterprise AI & Data Officer, Boeing Company](https://www.dataiq.global/dataiq100/abhi-seth-chief-enterprise-ai-data-officer-boeing-company/): Abhi Seth is Chief Enterprise AI and Data Officer at Boeing, where he leads the company’s data and AI strategy. With a career spanning multiple global organizations, Abhi has developed a strong track record of aligning data and AI initiatives with strategic business priorities to deliver measurable outcomes.  - [Lee Rorison, Founder & CEO, Seriös Group](https://www.dataiq.global/dataiq100/lee-rorison-founder-ceo-serios-group/): Lee Rorison is Founder and CEO of Seriös Group, where he leads the company’s approach to delivering data and AI solutions focused on speed, accessibility and measurable business outcomes. His career began in ERP data solutions and business intelligence consulting, building data platforms and warehouses for large enterprises as part of major transformation programmes.  - [Philip Dutton, Founder and CEO, Solidatus](https://www.dataiq.global/dataiq100/philip-dutton-founder-and-ceo-solidatus/): Philip Dutton is Founder and CEO of Solidatus, a company he established to help organisations gain greater transparency and control over their data. With a background in technology and engineering, Philip began his career developing a deep understanding of how complex systems are designed, built, and evolve over time.  - [Rishi Kapoor, Head of WW Partner Sales Engineering and Solutions, Alteryx](https://www.dataiq.global/dataiq100/rishi-kapoor-head-of-ww-partner-sales-engineering-and-solutions-alteryx/): Rishi Kapoor is Head of Worldwide Partner Sales Engineering and Solutions at Alteryx, where he works with global partners to help organisations translate data and AI capabilities into tangible business outcomes. Over the course of his career, Rishi has evolved from hands-on analytics into enterprise data and AI leadership, with a consistent focus on turning technical complexity into commercial value.  - [Tony Era, Head of Data Change and Transformation (EU), Admiral Europe](https://www.dataiq.global/dataiq100/tony-era-head-of-data-change-and-transformation-eu-admiral-uk/): Tony Era is Head of Data Change and Transformation (EU) at Admiral Group, where he leads programmes designed to embed stronger data practices and modern delivery models across the organisation’s European operations. His role centres on aligning data initiatives with business priorities, ensuring that transformation is both strategically coherent and operationally sustainable.  - [Steph Bell, Director of Analytics, Sainsbury’s](https://www.dataiq.global/dataiq100/steph-bell-director-of-analytics-sainsburys-2/): Steph Bell is Director of Analytics at Sainsbury’s, leading a multidisciplinary team of analysts, data scientists and visualisation specialists at the centre of one of the UK’s largest retail groups. Her remit spans Sainsbury’s, Argos, Habitat, and Tu, where analytics underpins decisions that shape the experience of millions of customers each day.  - [Sian McHenry, Group Data Governance Director, Nationwide](https://www.dataiq.global/dataiq100/sian-mchenry-head-of-data-governance-nationwide/): Sian McHenry is Head of Data Governance at Nationwide Building Society, where she leads the organisation’s approach to data governance, standards and control. With extensive experience across financial services, credit rating and global banking, she brings a disciplined, regulatory-aware perspective to managing data as a critical enterprise asset.  - [Sarah Taylor, Product Owner & Data & AI Academy Lead, Direct Line Group](https://www.dataiq.global/dataiq100/sarah-taylor-product-owner-data-ai-academy-lead-direct-line-group/): Sarah Taylor is Product Owner and Data and AI Academy Lead at Direct Line Group (DLG), where she combines product leadership with a strong focus on capability building and data literacy. She plays a central role in shaping how data is governed, understood, and applied across the organisation, ensuring that strategy is matched by practical skills and adoption.  - [Samir Patel, Head of Data, Group IM&T, BAE](https://www.dataiq.global/dataiq100/samir-patel-head-of-data-group-imt-bae/): Samir Patel is Head of Data, Group IM&T at BAE Systems, where he leads enterprise data strategy across a complex, global defence organisation. With nearly three decades at BAE, his career reflects sustained progression from technical analytics roles to senior information management leadership, underpinned by deep institutional knowledge and delivery experience.  - [Praveen Tomar, Head of Data Automation (Data & AI), Ofgem (UK Civil Service)](https://www.dataiq.global/dataiq100/praveen-tomar-head-of-data-automation-data-ai-ofgem-uk-civil-service/): Praveen Tomar is Head of Data Automation (Data and AI) at Ofgem, where he leads digital and public service transformation through automation, data and cloud-first technologies. With more than 23 years’ experience spanning process consulting, IT transformation, and intelligent automation, he brings deep technical expertise alongside strategic leadership within the UK Civil Service. Throughout his career, he has combined operational rigour with strategic foresight, focusing on sustainable, data-driven reform that strengthens public services.  - [Niklas Teichmann, Corporate Director of Data & Analytics, Henkel](https://www.dataiq.global/dataiq100/niklas-teichmann-corporate-director-of-data-analytics-henkel/): Niklas Teichmann is Corporate Director of Data and Analytics for Henkel Consumer Brands, where he leads the data and analytics agenda across the global consumer division. Reporting directly to the division’s Digital and Information Officer, he is responsible for shaping strategy, capability and delivery to ensure data drives commercial performance and operational efficiency at scale.  - [Neal Wells, EMEA Data Culture Lead, SMBC](https://www.dataiq.global/dataiq100/neal-wells-emea-data-culture-lead-smbc/): Neal Wells is EMEA Data Culture Lead at SMBC, bringing more than 35 years’ experience across retail and wholesale banking to his work in data, transformation and organisational change. His career spans relationship management, business performance leadership and large-scale strategic delivery, underpinned by a consistent focus on building high-performing, inclusive teams. Across his career, Neal has combined strategic clarity with practical execution to embed sustainable, data-driven change.  - [Natalija Bezubova, Global Head of Enterprise Analytics, Entain UK](https://www.dataiq.global/dataiq100/natalija-bezubova-global-head-of-enterprise-analytics-entain-uk/): Natalija Bezubova is Global Head of Enterprise Analytics at Entain, where she operates as a strategic partner to the Chief Data Officer and C-suite, shaping how data informs decision-making across a complex, fast-moving global gaming business. In 2025, she was named Data & AI Leader of the Year (Global) at the DataIQ Awards, recognising both her commercial impact and leadership influence.  - [Moïra Cambrezy Chaboche, Head of Data Transformation, Veolia](https://www.dataiq.global/dataiq100/moira-cambrezy-chaboche-head-of-data-transformation-veolia/): Moïra Cambrezy Chaboche is Head of Data Transformation at Veolia, where she leads initiatives that embed advanced data and AI capabilities into day-to-day operations. She was part of the team recognised with the Breakthrough with Data or AI award at the 2025 DataIQ Awards, acknowledging Veolia’s ability to combine sophisticated AI solutions with operational reality to deliver both financial returns and cultural change.  - [Martin Newman, Head of Product Engineering, Vodafone](https://www.dataiq.global/dataiq100/martin-newman-head-of-product-engineering-vodafone/): Martin Newman is Head of Product Engineering at Vodafone, where he has spent nearly 15 years building and scaling data and analytics capability across one of the world’s most complex telecoms organisations. A seasoned data and analytics leader, Martin has played a central role in driving Vodafone’s digital agenda through the design and deployment of high-impact data products, advanced analytics, machine learning and AI solutions that deliver measurable business value.  - [Maddie Amos, Head of Data Governance, The Crown Estate](https://www.dataiq.global/dataiq100/maddie-amos-head-of-data-governance-the-crown-estate/): Maddie Amos is Head of Data Governance at The Crown Estate and a member of its data leadership team, where she helps shape strategy, governance and engagement across a historic yet evolving organisation. Recognised in the 2025 DataIQ Future Leaders List, she is known for combining strategic intent with practical delivery as The Crown Estate strengthens its position as a data-led enterprise.  - [Luca Piccolo, Data Transformation Manager, Intact Insurance](https://www.dataiq.global/dataiq100/luca-piccolo-data-transformation-manager-intact-insurance/): Luca Piccolo is Data Transformation Manager at Intact Insurance, part of Intact Financial Group, where he works within the Data and AI transformation function to embed new technologies and ways of working into the fabric of the organisation. He was shortlisted, alongside his team, for New Ways of Working with Data (Europe) at the DataIQ Awards, reflecting his focus on operationalising AI at scale rather than treating it as experimentation.  - [Louisa Robinson, Data Strategy and Capability Lead, TfL](https://www.dataiq.global/dataiq100/louisa-robinson-data-strategy-and-capability-lead-tfl/): Louisa Robinson is Data Strategy and Capability Lead at Transport for London (TfL), where she oversees the execution of the organisation’s data strategy and leads the central data office function. With more than 18 years at TfL, she has played a defining role in shaping how data underpins operational performance, revenue protection and long-term transport strategy across the capital.  - [Kate Jones, Head of Data Strategy & Change, Coventry Building Society](https://www.dataiq.global/dataiq100/kate-jones-head-of-data-strategy-change-coventry-building-society/): Kate Jones is Head of Data Strategy & Change at Coventry Building Society, where she leads the organisation’s ambition to strengthen data culture and embed insight-led decision-making at scale. An energetic and people-focused leader, she is known for aligning stakeholder priorities with high-performing teams to deliver sustained organisational change.  - [Inigo Antolin, Head of Data Management, British Council](https://www.dataiq.global/dataiq100/inigo-antolin-head-of-data-management-british-council/): Iñigo Antolin is Head of Data Management and Governance at the British Council, where he leads the organisation’s enterprise approach to data as part of the Data, Evidence and Performance leadership team. His focus is on strengthening governance, improving data quality and embedding a more disciplined, decision-ready data culture across a complex global organisation.  - [Emma Eatch, Head of Clinical Analytics & Supplier Insights, Boots UK](https://www.dataiq.global/dataiq100/emma-eatch-head-of-clinical-analytics-supplier-insights-boots-uk/): Emma Eatch is Head of Clinical Analytics & Supplier Insights at Boots UK, where she leads work that sits at the intersection of data science, customer engagement and public health. Recognised in the DataIQ Future Leaders List 2025, she has built a reputation for combining commercial acumen with a clear social purpose.  - [David Clay, Head of CX & Channel Analytics, Barclays UK](https://www.dataiq.global/dataiq100/david-clay-head-of-cx-channel-analytics-barclays-uk/): David Clay is Head of CX and Channel Analytics at Barclays UK, where he leads analytics strategy across customer experience and distribution channels. His remit centres on translating customer insight into measurable growth, strengthening acquisition and loyalty while improving operational efficiency across the bank’s UK business.  - [Cayleigh O’Dwyer, Senior Manager Data & AI Culture & Strategy, Lloyds Banking Group](https://www.dataiq.global/dataiq100/cayleigh-odwyer-senior-manager-data-ai-culture-strategy-lloyds-banking-group/): Cayleigh O’Dwyer is Senior Manager for Data & AI Culture and Strategy at Lloyds Banking Group, where she plays a central role in advancing data maturity across a complex, regulated enterprise. With a career that began in highly technical data science roles, she has evolved into a strategic leader focused on embedding sustainable data and AI capability at scale.  - [Cali Wood, Head of Data & AI Strategy and Transformation, AXA UK&I](https://www.dataiq.global/dataiq100/cali-wood-head-of-data-ai-strategy-and-transformation-axa-uki/): Cali Wood is Head of Data and AI Strategy and Transformation at AXA UK and Ireland, where she leads the enterprise-wide strategy, culture and capability agenda for data and artificial intelligence. With more than a decade of experience advising senior leaders, she is recognised for translating ambitious data strategies into tangible business value while embedding the cultural change required to sustain them.  - [Anthony Belpaire, Head of AI, BNP Paribas Fortis](https://www.dataiq.global/dataiq100/anthony-belpaire-head-of-ai-bnp-paribas-fortis/): Anthony Belpaire is Head of AI at BNP Paribas Fortis, where he leads the bank’s AI product teams and the broader transformation agenda to embed artificial intelligence across core operations. Based in Brussels, he is responsible for translating AI ambition into tangible, scalable solutions that enhance performance, customer experience and long-term competitiveness.   - [Andrew Burns, Global Head of Data Strategy, National Grid](https://www.dataiq.global/dataiq100/andrew-burns-global-head-of-data-strategy-national-grid/): Andrew Burns is Global Head of Data Strategy at National Grid, where he leads the development and execution of a group-wide data agenda spanning innovation, governance and capability. Recognised in the DataIQ 2024 Future Leaders List, he has played a central role in strengthening National Grid’s data foundations and positioning data as a driver of enterprise-wide transformation.  - [Craig Suckling, Chief AI Officer, Europe, Capgemini](https://www.dataiq.global/dataiq100/craig-suckling-chief-ai-officer-europe-capgemini/): Craig Suckling is Chief AI Officer for Europe at Capgemini, bringing more than 25 years’ experience across data, AI, and technology leadership. His career spans senior roles as a Chief Data Officer in both the private and public sectors, building and scaling start-ups and hyperscalers, working as a management consultant, serving on advisory boards, and now leading AI strategy at enterprise scale.  - [Greg Freeman, CEO & Founder, Data Literacy Academy](https://www.dataiq.global/dataiq100/greg-freeman-ceo-founder-data-literacy-academy/): Greg Freeman is the CEO and Founder of Data Literacy Academy, where he focuses on addressing the human side of data and AI transformation. His route into data leadership came from a commercial, rather than technical, background. As a commercial leader, he found that increasing his own data fluency fundamentally improved his ability to understand audiences, identify where value was being created, and make more informed decisions. This gradual realisation shaped his belief that data literacy is a critical differentiator for modern organisations.  - [Aydin Sheibani, Chief Data Officer, HMRC](https://www.dataiq.global/dataiq100/aydin-sheibani-chief-data-officer-hmrc/): Aydin Sheibani is Chief Data Officer at HM Revenue and Customs, where he is accountable for the department’s enterprise-wide data strategy, governance, controls, and data solution delivery. He leads the development of HMRC’s data science capability, ensuring it is embedded within the organisation’s delivery lifecycle, and is responsible for defining and maintaining HMRC’s data model and standards to enable more effective use of data across systems.  - [Shahina Khan, EMEA Chief Data and Analytics Officer, SMBC](https://www.dataiq.global/dataiq100/shahina-khan-emea-chief-data-and-analytics-officer-smbc/): Shahina Khan is EMEA Chief Data and Analytics Officer at SMBC, where she is responsible for strengthening data governance, driving innovation, and embedding a culture of data excellence across the organisation. She has designed and implemented a comprehensive data governance framework that has improved data quality and integrity, enabling more confident, data-driven decision-making. Central to this success is her strong understanding of how the business operates and her ability to align data initiatives with stakeholder priorities.  - [Paul Hollands, Chief Data & Analytics Officer, AXA](https://www.dataiq.global/dataiq100/paul-hollands-chief-data-analytics-officer-axa/): Paul Hollands is Chief Data and Analytics Officer at AXA, leading data and AI across the UK and Ireland. With data at the heart of AXA’s business strategy, his focus is on ensuring that data and analytics deliver clear value for customers and the organisation, while building teams that lead through practical impact rather than technology for its own sake.  - [Robert Barbour, Data Integration & Insights Director, Travis Perkins PLC](https://www.dataiq.global/dataiq100/robert-barbour-data-integration-insights-director-travis-perkins-plc/): Robert Barbour is Data Integration and Insights Director at Travis Perkins PLC. He began his career as a graduate consultant at Accenture, where he spent 13 years working on large-scale transformation programmes across Asia, Europe, the UK, and Africa. Specialising in data engineering and analytics, he supported organisations across government, communications, high tech and banking, gaining deep experience of end-to-end delivery and close collaboration with business change teams. His expertise led to recognition as a subject matter expert, frequently undertaking quality assurance reviews for data-led programmes across the EMEA region. As his career progressed, Robert expanded into commercial strategy, sales, and senior stakeholder management.  - [Chris Miller, Chief Data & AI Officer, Royal London Group](https://www.dataiq.global/dataiq100/chris-miller-chief-data-ai-officer-royal-london-group/): Chris Miller is Chief Data and AI Officer at Royal London Group. He began his career after graduating in Computing Science by joining Deloitte’s Technology Assurance and Advisory practice, where he qualified as a Chartered Accountant and built broad experience working with leading UK insurance and banking organisations.  - [Kayur Rughani, Managing Director, Accenture UKI](https://www.dataiq.global/dataiq100/kayur-rughani-managing-director-accenture-uki/): Kayur Rughani is Managing Director at Accenture UKI, with over 20 years’ experience working at the intersection of people, process and technology. Throughout his career, he has embodied Accenture’s role as an integrator, helping organisations bring together strategy, operations and technology to deliver meaningful and lasting change.  - [Kshitij Jain, Senior Vice President, Analytics and AI Services, EXL](https://www.dataiq.global/dataiq100/kshitij-jain-senior-vice-president-analytics-and-ai-services-exl/): Kshitij Jain is Senior Vice President of Analytics and AI Services at EXL and a founding member of the firm’s analytics practice. His career in data and AI began in 2006, following an early start in M&A banking at Bank of America. With a background in chemical engineering from IIT Delhi and an MBA from the University of Cambridge, he brought a strong analytical and commercial lens to solving complex business problems through data.  - [Simon Ferriter, Chief Executive Officer, Anmut Consulting](https://www.dataiq.global/dataiq100/simon-ferriter-chief-executive-officer-anmut-consulting/): Simon Ferriter is the Chief Executive Officer of Anmut Consulting, a specialist data consultancy focused on helping organisations understand and maximise the value of their data.  - [Ana Madrid, AI Customer Lead, Accenture Song](https://www.dataiq.global/dataiq100/ana-madrid-ai-customer-lead-accenture-song/): Ana Madrid is an AI Customer Lead at Accenture Song, where she helps major organisations shape and deliver customer-centric AI strategies that drive meaningful, measurable value. Her career is defined by the combination of analytical rigour, creativity and a strong understanding of how people experience change.  - [Denholm Hesse, Chief Data Officer, BDO](https://www.dataiq.global/dataiq100/denholm-hesse-chief-data-officer-bdo-2/): Denholm Hesse is Chief Data Officer at BDO, responsible for establishing the firm’s data strategy and building a data-driven culture. As BDO’s inaugural CDO, he leads the Data Office with accountability for data governance, analytics, data engineering and platforms, focusing on empowering colleagues through trusted, accessible data and delivering measurable business value.  - [Damien Judge, Head of Data & Analytics, RBS International](https://www.dataiq.global/dataiq100/damien-judge-head-of-data-analytics-rbs-international/): Damien Judge is Head of Data and Analytics at RBS International, bringing more than 20 years’ experience across data, analytics and the leadership of high-performing teams. His career spans financial services and telecoms, including senior roles within retail and commercial banking environments and leadership of a full-service offshore bank within the NatWest Group.  - [Morgan Rees, Head of Enterprise Data Analytics, Capgemini Invent UK](https://www.dataiq.global/dataiq100/morgan-rees-head-of-enterprise-data-analytics-capgemini-invent-uk/): Morgan Rees is Head of Enterprise Data Analytics at Capgemini Invent UK, where he leads the firm’s work in delivering practical, high-impact data and AI solutions. His career began with an engineering degree and an early role in the defence industry, which first exposed him to the use of data in a commercial and operational context. He subsequently moved into consulting, joining the Operational Research team at what was then Capgemini Consulting.  - [Robert Kent, Head of Data & AI, Greggs](https://www.dataiq.global/dataiq100/robert-kent-head-of-data-ai-greggs/): Robert Kent is Head of Data and AI at Greggs and a lifelong technologist who made a deliberate shift around two decades ago to define, build, and lead data and analytics as embedded business capabilities. Since then, his career has been shaped by a consistent focus on impact: starting with the size of the prize and identifying where data and AI can make a material difference to organisational performance.  - [Paul Alexander, Group CEO, Beyond: Putting Data to Work](https://www.dataiq.global/dataiq100/paul-alexander-group-ceo-beyond-putting-data-to-work-2/): Paul Alexander is Group CEO of Beyond: Putting Data to Work, with a career rooted in the belief that insight only matters when it changes behaviour. He began in advertising, where early experience reinforced a simple truth: analysis without action has no value. Senior roles at Leo Burnett, M&C Saatchi, and TBWA provided a rigorous grounding in commercial thinking and the realities of influencing decision-making at scale.  - [Robert Goodwin, Global Chief Data Officer, MSQ Partners](https://www.dataiq.global/dataiq100/robert-goodwin-global-chief-data-officer-msq-partners/): Robert Goodwin is Global Chief Data Officer at MSQ Partners, with a career shaped by a deep interest in solving problems with measurable outcomes. He studied mathematics, statistics, and operational research, developing a model-first mindset early on. Experience quickly taught him, however, that the greatest challenges in data are rarely technical; they lie in context, incentives and effective change management.  - [David Keens, Vice President of Solutions EMEA, Acxiom](https://www.dataiq.global/dataiq100/david-keens-vice-president-of-solutions-emea-acxiom-2/): David Keens is Vice President of Solutions for EMEA at Acxiom, with a career shaped at the intersection of data, technology, business outcomes and human impact. He began in technically rigorous roles, including research and engineering in healthcare informatics and systems analysis within financial services. These early experiences grounded him in the discipline required to design reliable, scalable, data-centric solutions for complex organisations.  - [Debasish Patnaik, Senior Partner, UK Leader, QuantumBlack, AI by McKinsey](https://www.dataiq.global/dataiq100/debasish-patnaik-senior-partner-uk-leader-quantumblack-ai-by-mckinsey/): Debasish Patnaik is a Senior Partner and UK Leader of QuantumBlack, AI by McKinsey. He studied Computer Science and began his career as a software engineer, building data and technology solutions for financial institutions. Those early roles shaped his systems-thinking approach and exposed him to the realities of legacy technology, complex data estates and competing organisational priorities. During his MBA at INSEAD, where he focused on entrepreneurship and systems, his perspective shifted decisively towards value creation at scale. A defining lesson from this period was that the sophistication of technology matters far less than consistent adoption and measurable P&L impact.  - [Sri Kanisapakkam, Chief Data & Analytics Officer, Nationwide Building Society](https://www.dataiq.global/dataiq100/sri-kanisapakkam-chief-data-analytics-officer-nationwide-building-society/): Sri Kanisapakkam is Chief Data and Analytics Officer at Nationwide Building Society, a role he has held since June 2023. He brings more than 25 years of experience across financial services, with a strong track record of using data and digital capabilities to improve customer experience and drive customer-centric transformation.  - [Silke Ottenbreit, Head of Global Controlling, Reporting, Data & Analytics HCB, Henkel](https://www.dataiq.global/dataiq100/silke-ottenbreit-head-of-global-controlling-reporting-data-analytics-hcb-henkel/): Silke Ottenbreit is Head of Global Controlling, Reporting, Data and Analytics for Henkel Consumer Brands, where she leads enterprise-wide performance management, reporting, and analytics to support strategic decision-making and value creation. She brings over 14 years of experience at Henkel, spanning finance, transformation, supply chain, and business leadership roles across Europe and North America.  - [Sebastien Verchere, Vice President / AI Strategic Initiatives Lead, Volvo AB](https://www.dataiq.global/dataiq100/sebastien-verchere-vice-president-ai-strategic-initiatives-lead-volvo-ab/): Sebastien Verchere is Vice President and AI Strategic Initiatives Lead at Volvo Group, where he leads the development and delivery of enterprise analytics, business intelligence, and AI capabilities. Since January 2022, he has also overseen Analytics and BI Delivery, embedding data-driven decision-making across the organisation.  - [Meenakshi Burra, Chief Data Officer & CDIO, Unilever](https://www.dataiq.global/dataiq100/meenakshi-burra-chief-data-officer-cdio-unilever/): Meenakshi Burra is Chief Data Officer and Chief Digital and Information Officer at Unilever, where she leads the definition of enterprise data strategy and the delivery of data platforms and products that embed advanced analytics and AI to drive measurable business value. Her remit spans the end-to-end use of data, from foundational platforms to AI-enabled insights, with a clear focus on net value creation and decision intelligence at scale.  - [Isabel Gomez Garcia de Soria, Group Chief Data & Analytics Officer, L’Oreal](https://www.dataiq.global/dataiq100/isabel-gomez-garcia-de-soria-group-chief-data-analytics-officer-loreal/): Isabel Gomez Garcia de Soria is Group Chief Data and Analytics Officer at L’Oréal, where she leads the group’s ambition to elevate data quality, accessibility, and usage across the organisation. With more than 20 years’ experience delivering technology-led transformation, she brings a rare blend of deep technical expertise and business leadership.  - [Andy Hill, CDO, Sainsbury’s](https://www.dataiq.global/dataiq100/andy-hill-cdo-sainsburys/): With more than 27 years’ experience across retail and FMCG, Andy Hill is currently Chief Data Officer at Sainsbury’s, where he leads the retailer’s Data and Analytics function, using data and AI to support business performance and long-term growth.   - [Lauren Sager Weinstein, Chief Data Officer, Transport for London](https://www.dataiq.global/dataiq100/lauren-sager-weinstein-chief-data-officer-transport-for-london-2/): Lauren Sager Weinstein is Chief Data Officer at Transport for London (TfL), bringing together a long-standing interest in data and technology with a deep commitment to helping cities thrive. Coming from a family of engineers, she developed an early affinity for technical problem-solving, alongside a strong passion for public policy and management. Her career spans senior roles across the public sector on both sides of the Atlantic.  - [Dave Monks, Global VP Data & AI, Brambles Ltd](https://www.dataiq.global/dataiq100/dave-monks-global-vp-data-ai-brambles-ltd/): Dave Monks is Global Vice President of Data and AI at Brambles Ltd, with more than 25 years’ experience in data and analytics across major global organisations in FMCG, beverages, manufacturing and supply chain–led businesses. Over the past 14 years, he has led large-scale global data and AI transformations at Brambles, Reckitt, Diageo and Yildiz Holding (pladis), building federated operating models and multi-regional teams that deliver measurable business value.  - [Alex Jardine, Director of Analytics, Sainsbury’s & Nectar](https://www.dataiq.global/dataiq100/alex-jardine-director-of-analytics-sainsburys-nectar-2/): Alex Jardine is Director of Analytics at Sainsbury’s and Nectar, with a career built on a long-standing passion for using data to drive clear, fact-based decision-making and commercial impact. He began his professional journey with a degree in Civil Engineering, which provided a strong foundation in problem solving and quantitative analysis. While engineering itself was not the right fit, those skills transferred naturally into one of his first roles in the then-emerging field of analytics, where he used retail data to understand shopping behaviours and consumer trends.  - [Johanna Hutchinson, Group Chief Data Officer, BAE Systems](https://www.dataiq.global/dataiq100/johanna-hutchinson-group-chief-data-officer-bae-systems/): Johanna Hutchinson is Group Chief Data Officer at BAE Systems, with a distinguished record of delivering enterprise-scale data and AI transformation across highly regulated, mission-critical environments. Appointed to this newly created role in August 2023, she leads enterprise data, analytics and AI from BAE Systems’ global headquarters, reporting to the Chief Technology and Innovation Officer. Her remit focuses on strengthening operational performance, resilience and strategic decision-making across a 90,000-strong workforce within a FTSE 50 manufacturing organisation.  - [Pankaj Arora, Group Director of Analytics & Decision Science, SAGA PLC](https://www.dataiq.global/dataiq100/pankaj-arora-group-director-of-analytics-decision-science-saga-plc/): Pankaj Arora is Group Director of Analytics and Decision Science at SAGA PLC, with a leadership perspective shaped by a series of defining turning points around value, trust and enterprise influence. His career began in roles with full P&L accountability, before moving into data and analytics. That experience instilled a clear principle that continues to anchor his approach today: data only creates value when it changes outcomes. As a result, he treats data as a commercial function, accountable for impact rather than activity.  - [Eloy Sasot, Chief Data Officer, ASML](https://www.dataiq.global/dataiq100/eloy-sasot-chief-data-officer-asml/): Eloy Sasot is Chief Data Officer at ASML, with a career defined by curiosity and a willingness to work across boundaries of industry, geography and discipline. His experience spans nine sectors, including B2C, B2B and government, and has taken him through multicultural environments across Europe, Asia, and the Americas.  - [Kevin Tubb, Chief Data & Analytics Officer, The AA](https://www.dataiq.global/dataiq100/kevin-tubb-chief-data-analytics-officer-the-aa/): Kevin Tubb is Chief Data and Analytics Officer at The AA, with more than 25 years’ experience using data to drive commercial performance across a wide range of roles. His career has spanned product performance analysis, channel trading, customer personalisation and, most recently, leading large-scale insurance pricing teams. Throughout this journey, Kevin has worked with data that was rarely perfect, but he has consistently believed in its critical importance and untapped potential for brands.  - [Miriam Vizvary, Chief Data and Analytics Officer, RS Group](https://www.dataiq.global/dataiq100/miriam-vizvary-chief-data-and-analytics-officer-rs-group/): Miriam Vizvary is Chief Data and Analytics Officer at RS Group, with a career spanning the full evolution of data from niche technical capability to a core driver of business strategy. She began her career as a data analyst at a software vendor, learning ETL development and spending over a decade building and managing data warehouses, primarily within commercial insurance organisations in the City. These early years gave her deep, hands-on expertise in how data is organised, moved, governed and consumed.  - [Marco Hoppenbrouwer, Manager Data Office, Stedin](https://www.dataiq.global/dataiq100/marco-hoppenbrouwer-manager-data-office-stedin/): Marco Hoppenbrouwer is Manager Data Office at Stedin, bringing more than three decades of experience in technology, data, and business transformation within large, complex organisations. He began his career at Shell, where he spent 33 years progressing from entry-level roles to senior leadership positions. During this time, he led major strategic IT architecture programmes, delivered mergers and acquisitions, served as Chief Information Officer for the entire retail network, established digitalisation initiatives, and ultimately held the role of Chief Data Officer.  - [Ryan Moore, Director of Data, The Guardian](https://www.dataiq.global/dataiq100/ryan-moore-director-of-data-the-guardian-2/): Ryan Moore is Director of Data at The Guardian, where he leads the group data function. With more than 20 years’ experience in data leadership across industry and consulting, Ryan focuses on building data capabilities that deliver trusted, high-quality data products that deliver value while remaining firmly rooted in The Guardian’s values of trust, integrity, fairness and service to readers.  - [Wade Munsie, Chief Data and AI Officer, Heathrow](https://www.dataiq.global/dataiq100/wade-munsie-chief-data-and-ai-officer-heathrow/): Wade Munsie is Chief Data and AI Officer at Heathrow, where he leads the organisation’s data and AI agenda with a focus on strategic value, scale, and long-term impact.  - [Vishwa Kalmali, Global Head of Data & AI, Imperial Brands](https://www.dataiq.global/dataiq100/vishwa-kalmali-global-head-of-data-ai-imperial-brands/): Vishwa Kalmali is Global Head of Data and AI at Imperial Brands, where she leads the organisation’s enterprise-wide data and AI strategy, embedding trusted, responsible, data-driven decision-making at scale.  - [Una Shortt, Group Chief Data Officer, Schneider Electric](https://www.dataiq.global/dataiq100/una-shortt-group-chief-data-officer-schneider-electric/): Una Shortt is Group Chief Data Officer and Senior Vice President at Schneider Electric, where she leads the company’s global data strategy and capability.  - [Tom Spencer, Director of Customer Data Sciences, Aviva](https://www.dataiq.global/dataiq100/tom-spencer-director-of-customer-data-sciences-aviva-3/): Tom Spencer is Director of Customer Data Sciences at Aviva, where he leads teams spanning analytics, data science, engineering, and data product to deliver customer-focused insight and AI at scale.  - [Tekin Mentes, Chief Data and AI Officer, Shell](https://www.dataiq.global/dataiq100/tekin-mentes-chief-data-and-ai-officer-shell/): With more than 25 years across data engineering, analytics, and AI, Tekin Mentes currently serves as Chief Data and AI Officer at Shell. His trajectory has followed the technology shifts rather than the job titles, from software development at Oracle, through business intelligence leadership at Airbus and 3M, to senior data roles at Logitech and LeasePlan.  - [Steven Blunden, Head of Data & Analytics, IAG Cargo](https://www.dataiq.global/dataiq100/steven-blunden-head-of-data-analytics-iag-cargo/): Steven Blunden is Head of Data and Analytics at IAG Cargo, where he leads the organisation’s data capability and the ongoing modernisation of its analytics platform to support evolving commercial and operational needs.  - [Steve Pimblett, Chief Data Officer (CDO), Rightmove](https://www.dataiq.global/dataiq100/steve-pimblett-chief-data-officer-cdo-rightmove/): Steve Pimblett is Chief Data Officer at Rightmove, where he leads the organisation’s data and AI strategy with a focus on translating insight into measurable commercial impact.  - [Steve Janoo, Chief Data Analytics Officer, Diageo](https://www.dataiq.global/dataiq100/steve-janoo-chief-data-analytics-officer-diageo/): Steve Janoo is Chief Data and Analytics Officer at Diageo, where he leads the company’s global data, analytics and AI agenda to drive growth, performance, and competitive advantage.  - [Sid Shah, VP Data & Analytics, International, Live Nation Entertainment](https://www.dataiq.global/dataiq100/sid-shah-vp-data-analytics-international-live-nation-entertainment/): Sid Shah is Vice President of Data and Analytics, International at Live Nation Entertainment, where he leads data strategy and capability across a diverse, global operating landscape.  - [Shreenivasa Rajanala, Global Head of Data Analytics and AI Foundations, Bayer AG](https://www.dataiq.global/dataiq100/shreenivasa-rajanala-global-head-of-data-analytics-and-ai-foundations-bayer-ag/): Shreenivasa Rajanala is Global Head of Data Analytics and AI Foundations at Bayer AG, where he leads the development of enterprise data, analytics, and AI capabilities to support commercial decision-making and value creation across the organisation.  - [Selena Wark, Associate Director of Digital, Data, & Technology, Mind](https://www.dataiq.global/dataiq100/selena-wark-associate-director-of-digital-data-technology-mind/): Selena Wark is Associate Director of Digital, Data and Technology at Mind, where she leads organisation-wide transformation to align digital, data, and technology capabilities.  - [Sarah Barr Miller, Director of Data and AI, British Airways](https://www.dataiq.global/dataiq100/sarah-barr-miller-director-of-data-and-ai-british-airways/): Sarah Barr Miller is Director of Data and AI at British Airways, where she leads data, insight and AI capabilities across one of the world’s most data-rich and operationally complex industries.  - [Sanjeev Jagait, Chief Data Officer, Arts Council England](https://www.dataiq.global/dataiq100/sanjeev-jagait-chief-data-officer-arts-council-england/): Sanjeev Jagait is Chief Data Officer at Arts Council England, where he leads the organisation’s data strategy to support evidence-based decision-making and effective use of insight across the cultural sector.  - [Ryan Den Rooijen, MD AI and Monetisation, Currys](https://www.dataiq.global/dataiq100/ryan-den-rooijen-md-ai-and-monetisation-currys/): Ryan Den Rooijen is Managing Director for AI and Monetisation at Currys, where he is responsible for leading the company’s AI agenda and translating advanced analytics into commercial value at scale.  - [Russell Barton, EMEA Data Governance & Projects Manager, Starbucks EMEA](https://www.dataiq.global/dataiq100/russell-barton-emea-data-governance-projects-manager-starbucks-emea/): Russell Barton is EMEA Data Governance and Projects Manager at Starbucks, where he leads data governance and supports data-led projects and process improvement.  - [Rohit Dhawan, Director and Group Head of AI, Lloyds Banking Group](https://www.dataiq.global/dataiq100/rohit-dhawan-director-and-group-head-of-ai-lloyds-banking-group/): Rohit Dhawan is Director and Group Head of AI at Lloyds Banking Group, where he leads the Group’s AI agenda with a focus on responsible, large-scale adoption across a 27-million-customer franchise.  - [Rich Hunt, Data & AI Director, Openreach](https://www.dataiq.global/dataiq100/rich-hunt-data-ai-director-openreach/): Rich Hunt is Data and AI Director at Openreach, where he leads an award-winning team of analysts, engineers, data scientists, and strategists delivering insight and AI at scale across the organisation.  - [Rebecca Fitzgerald, Director of Data & AI, Yorkshire Building Society](https://www.dataiq.global/dataiq100/rebecca-fitzgerald-director-of-data-ai-yorkshire-building-society/): Rebecca Fitzgerald is Director of Data and AI at Yorkshire Building Society, where she leads transformation across technology, culture, and business strategy.  - [Phil Boon, Chief Data Officer, Coventry Building Society](https://www.dataiq.global/dataiq100/phil-boon-chief-data-officer-coventry-building-society/): Phil Boon is Chief Data Officer at Coventry Building Society, where he leads the organisation’s data agenda with a focus on foundations and enabling data to become a strategic asset.  - [Phani Ravindra Kaligotla, Director, AI & Data Strategy, Mastercard](https://www.dataiq.global/dataiq100/phani-ravindra-kaligotla-director-ai-data-strategy-mastercard/): Phani Ravindra Kaligotla is Director of AI and Data Strategy at Mastercard, where he focuses on driving innovation at the intersection of technology, data, and financial services.  - [Peter Laflin, Director of Data & Analytics (CDO), Morrisons Supermarkets](https://www.dataiq.global/dataiq100/peter-laflin-director-of-data-analytics-cdo-morrisons-supermarkets/): Peter Laflin is Director of Data and Analytics (Chief Data Officer) at Morrisons Supermarkets, where he leads the company’s group-wide data capability with a strong focus on commercial value and customer impact.  - [Dr Peter Appleby, Head of Data Science and Analytics, Autotrader](https://www.dataiq.global/dataiq100/dr-peter-appleby-head-of-data-science-and-analytics-autotrader/): Dr Peter Appleby is Head of Data Science and Analytics at Auto Trader, where he brings together deep academic expertise and commercial leadership in AI and advanced analytics.  - [Perry Philipp, Chief Data Officer, Entain](https://www.dataiq.global/dataiq100/perry-philipp-chief-data-officer-entain-2/): Perry Philipp is Chief Data Officer at Entain, where he leads the organisation’s data and AI agenda with a focus on delivery, adoption and sustainable business impact.  - [Paula Bobbett, Chief Data and Digital Officer, Boots](https://www.dataiq.global/dataiq100/paula-bobbett-chief-data-and-digital-officer-boots/): Paula Bobbett is Chief Data and Digital Officer at Boots, where she leads the organisation’s data, digital, and AI agenda, with a focus on omnichannel transformation and customer experience.  - [Paola Cagliani, Group Chief Data and AI Officer, Admiral](https://www.dataiq.global/dataiq100/paola-cagliani-group-chief-data-and-ai-officer-admiral/): Paola Cagliani is Group Chief Data and AI Officer at Admiral, where she leads the company’s data and AI agenda as a core driver of business strategy and value creation across multiple European markets.  - [Osman Peermamode, Director, Data & Analytics, Vodafone](https://www.dataiq.global/dataiq100/osman-peermamode-director-data-analytics-vodafone/): Osman Peermamode is Director of Data and Analytics at Vodafone, where he leads the global data, AI and cloud strategy across a highly complex, multinational organisation.  - [Nivedh Ramamurthy Iyer, Head of Group Data Management, Danske Bank](https://www.dataiq.global/dataiq100/nivedh-ramamurthy-iyer-head-of-group-data-management-danske-bank/): Nivedh Ramamurthy Iyer is Head of Group Data Management at Danske Bank, where he leads the organisation’s enterprise data management agenda with a focus on governance, quality, and responsible innovation.  - [Murtz Daud, Director of Data & AI, British Gas](https://www.dataiq.global/dataiq100/murtz-daud-director-of-data-ai-british-gas/): Murtz Daud is Director of Data and AI at British Gas, where he leads the organisation’s data and AI agenda with a focus on turning data into a strategic asset.  - [Ming Tang, Chief Digital and Information Officer (Interim) & Chief Data and Analytics Officer, NHS England](https://www.dataiq.global/dataiq100/ming-tang-chief-digital-and-information-officer-interim-chief-data-and-analytics-officer-nhs-england/): Ming Tang is Interim Chief Digital and Information Officer and Chief Data and Analytics Officer at NHS England, where she is responsible for setting the strategic direction for digital, data, and analytics across the health and care system.  - [Megan Reutin, Global Head of Data Science & Strategy, AI Ambassador, Grunenthal](https://www.dataiq.global/dataiq100/megan-reutin-global-head-of-data-science-strategy-ai-ambassador-grunenthal/): Megan Reutin is Global Head of Data Science and Strategy and AI Ambassador at Grünenthal, where she leads the organisation’s commercial data strategy, enterprise-wide data education, and AI innovation agenda.  - [Matt Crawley, Chief Data Officer, Lebara](https://www.dataiq.global/dataiq100/matt-crawley-chief-data-officer-lebara-3/): Matt Crawley is Chief Data Officer at Lebara, leading the company’s data and AI agenda with a focus on building strong foundations and delivering tangible business value.  - [Mateus Morato Fantini, Chief AI & Innovation Officer, Informa PLC](https://www.dataiq.global/dataiq100/mateus-morato-fantini-chief-ai-innovation-officer-informa-plc/): Mateus Morato Fantini is Chief AI and Innovation Officer at Informa PLC, where he leads AI strategy and implementation across one of the world’s largest B2B information businesses. - [Maria Vounou, Director, Data Science, Burberry](https://www.dataiq.global/dataiq100/maria-vounou-director-data-science-burberry-2/): Maria Vounou is Director of Data Science at Burberry, where she leads the company’s central, globally focused Data and Analytics function. Her career is grounded in a strong academic foundation, having studied Mathematics before completing a PhD in Statistics. Her doctoral research applied advanced statistical methods to high-dimensional brain imaging and genetic data, building deep technical expertise in analytics, modelling, and applied AI. - [Luke Pearce, Chief Data Officer, Santander UK](https://www.dataiq.global/dataiq100/luke-pearce-chief-data-officer-santander-uk-2/): Luke Pearce is Chief Data Officer at Santander UK, where he leads the organisation’s data strategy with a focus on improving customer outcomes, shaping strategy, and driving operational efficiency.  - [Louise Maynard-Atem, Deputy Director – Data, Insights & Counter Fraud, Government Digital Service](https://www.dataiq.global/dataiq100/louise-maynard-atem-deputy-director-data-insights-counter-fraud-government-digital-service/): Louise Maynard-Atem is Deputy Director for Data, Insights and Counter Fraud at the Government Digital Service (GDS), where she leads teams applying data science, analytics and technology to some of the most complex challenges in public service delivery.  - [Lara Izlan, Director of Insights, ITV plc](https://www.dataiq.global/dataiq100/lara-izlan-director-of-insights-itv-plc/): Lara Izlan is Director of Insights at ITV plc, with a career spanning digital media, data and insight across a wide range of disciplines. She began in investment research covering dot-com businesses, before moving into industry roles across consumer research, strategic planning, advertising technology and data strategy. Her career has included senior positions at organisations such as Disney, AOL, the Telegraph, Auto Trader, and ITV, often during periods of significant digital and commercial transformation.  - [Lisa Allen, Director of Data Services, The Pensions Regulator](https://www.dataiq.global/dataiq100/lisa-allen-director-of-data-services-the-pensions-regulator-2/): Lisa Allen is Director of Data Services at The Pensions Regulator, where she leads the organisation’s Data Directorate and oversees the use of data to support effective regulation and better outcomes for pension savers.  - [Laia Collazos, Chief Data & Analytics Officer, Coca-Cola Europacific Partners](https://www.dataiq.global/dataiq100/laia-collazos-chief-data-analytics-officer-coca-cola-europacific-partners/): Laia Collazos is Chief Data and Analytics Officer at Coca-Cola Europacific Partners (CCEP), where she leads the organisation’s global data and analytics capability across data platforms, governance, insight services, data product delivery, data science and AI. Her focus is on making data matter by driving value at scale to improve business performance, strengthen customer partnerships and create a better workplace for CCEP’s people.  - [Kristof Meganck, Chief Data Officer, BNP Paribas Fortis](https://www.dataiq.global/dataiq100/kristof-meganck-cdo-bnp-paribas-fortis/): Kristof Meganck is Chief Data Officer at BNP Paribas Fortis, where he leads the bank’s data and AI strategy with a strong emphasis on business value, alignment, and execution.  - [Kate Sargent, Chief Data Officer, Financial Times](https://www.dataiq.global/dataiq100/kate-sargent-chief-data-officer-financial-times-3/): Kate Sargent is Chief Data Officer at the Financial Times, where she leads the organisation’s data, analytics, and AI strategy with a focus on value creation, trust, and capability building.  - [Karl O’Hanlon, Chief Data and Analytics Officer, Veolia](https://www.dataiq.global/dataiq100/karl-ohanlon-chief-data-and-analytics-officer-veolia-2/): Karl O’Hanlon is Chief Data and Analytics Officer at Veolia, where he leads the group’s global data and AI agenda, with a focus on delivering tangible value for both operational and corporate teams.  - [Karen Dewar, Chief Data & Analytics Officer, NatWest](https://www.dataiq.global/dataiq100/karen-dewar-chief-data-analytics-officer-natwest/): Karen Dewar is Chief Data and Analytics Officer at NatWest, where she sets and leads the bank’s data, analytics and AI agenda with a clear focus on improving customer outcomes.  - [Julie De Moyer, Chief Data Officer Beauty, LVMH](https://www.dataiq.global/dataiq100/julie-de-moyer-cdo-beauty-lvmh/): Julie De Moyer is Chief Data Officer Beauty at LVMH, where she leads the Data and AI agenda across 15 Beauty Maisons, balancing global scale with the distinct identities of some of the world’s most recognised luxury brands.  - [Jordan Wignall, Head of Data, Love Business](https://www.dataiq.global/dataiq100/jordan-wignall-head-of-data-love-business/): Jordan Wignall is Head of Data at Love Business, where he leads the organisation’s data capability with a strong focus on usability, trust and practical impact.  - [John Short, Data & AI Director, Lloyd’s of London](https://www.dataiq.global/dataiq100/john-short-data-ai-director-lloyds-of-london/): John Short is Data and AI Director at Lloyd’s of London, where he leads the integration of data products and AI at the core of the market’s transformation agenda.  - [James Morgan, Chief Data Officer, The Crown Estate](https://www.dataiq.global/dataiq100/james-morgan-chief-data-officer-the-crown-estate-3/): James Morgan is Chief Data Officer at The Crown Estate, responsible for setting the organisation’s data vision, strategy, and transformation roadmap, building the foundations for data- and AI-driven decision-making across the business. His remit spans data management and development, GIS, governance, analytics, data science, AI, and visualisation.  - [Indhira Mani, Chief Data Officer, Intact Insurance UK & I](https://www.dataiq.global/dataiq100/indhira-mani-chief-data-officer-intact-insurance-uk-i/): Indhira Mani is Chief Data Officer for Intact Insurance UK & Ireland, where she leads the organisation’s data and AI strategy to drive value, performance, and competitive advantage.  - [Hywel Jon Benbow, Senior Vice President, Global Data, AI & Analytics, GEMS Education](https://www.dataiq.global/dataiq100/hywel-jon-benbow-senior-vice-president-global-data-ai-analytics-gems-education/): Hywel Jon Benbow is Senior Vice President, Global Data, AI and Analytics at GEMS Education, where he leads the organisation’s data and analytics agenda with a strong focus on alignment, adoption, and decision-making impact.  - [Helen Blaikie, Chief Data and Analytics Officer, Aston University](https://www.dataiq.global/dataiq100/helen-blaikie-chief-data-and-analytics-officer-aston-university-2/): Helen Blaikie is Chief Data and Analytics Officer at Aston University, where she leads the institution’s data and analytics agenda.  - [George Papadatos, Global Head of Data Strategy, Syngenta](https://www.dataiq.global/dataiq100/george-papadatos-global-head-of-data-strategy-syngenta/): George Papadatos is Global Head of Data Strategy at Syngenta, where he leads data, analytics and AI strategy for Crop Protection R&D, with a focus on accelerating scientific discovery and addressing global challenges across food, health, and the environment.  - [Gavin Goodland, Chief Data Officer, National Grid](https://www.dataiq.global/dataiq100/gavin-goodland-chief-data-officer-national-grid-2/): Gavin Goodland is Chief Data Officer at National Grid, where he leads the organisation’s data strategy and capability to support decision-making, performance and long-term transformation.  - [Gaudenz Koeppel, Chief Data & Analytics Officer T&S, Axpo](https://www.dataiq.global/dataiq100/gaudenz-koeppel-chief-data-analytics-officer-ts-axpo/): Gaudenz Koeppel is Chief Data and Analytics Officer T&S at Axpo, where he leads the end-to-end data and analytics agenda across one of Europe’s most complex energy trading environments.  - [Gary Goldberg, Chief Data Officer – Supply, Trading & Shipping, BP plc](https://www.dataiq.global/dataiq100/gary-goldberg-chief-data-officer-supply-trading-shipping-bp-plc/): Gary Goldberg is Chief Data Officer for Supply, Trading and Shipping at BP plc, where he is responsible for using data to enable business transformation across some of the organisation’s most commercially complex operations.  - [Gareth Powell, Group Data Officer, Partner, Irwin Mitchell](https://www.dataiq.global/dataiq100/gareth-powell-group-data-officer-partner-irwin-mitchell-2/): Gareth Powell is Group Data Officer and Partner at Irwin Mitchell, leading the firm’s data strategy and transformation agenda, focused on delivering measurable business value.  - [Gabriel Straub, VP Data and Chief Data Officer, The LEGO Group](https://www.dataiq.global/dataiq100/gabriel-straub-vp-data-and-chief-data-officer-the-lego-group/): Gabriel Straub is Vice President of Data and Chief Data Officer at the LEGO Group, where he is responsible for evolving how data and AI are used to improve experiences for both builders and colleagues.  - [Frédéric Bernard-Payen, Data Governance Senior Expert, Airbus](https://www.dataiq.global/dataiq100/frederic-bernard-payen-data-governance-senior-expert-airbus/): Frédéric Bernard-Payen is a Data Governance Senior Expert at Airbus, where he focuses on building the trusted data foundations required to scale advanced analytics and AI in a highly complex industrial environment.  - [Ed Child, Global Head Consumer & Digital Data, Costa Coffee](https://www.dataiq.global/dataiq100/ed-child-global-head-consumer-digital-data-costa-coffee/): Ed Child is Global Head of Consumer and Digital Data at Costa Coffee, where he leads the organisation’s consumer, digital, and AI data agenda to drive personalisation, loyalty, and commercial performance.  - [Di Mayze, Chief Data and AI Officer, Marks & Spencer](https://www.dataiq.global/dataiq100/di-mayze-chief-data-and-ai-officer-marks-spencer-2/): Di Mayze is Chief Data and AI Officer at Marks & Spencer, where she leads the company’s data and AI agenda as the first person to hold the role. - [Davin Crowley-Sweet, OBE, Director of Digital Technical Competence, National Highways](https://www.dataiq.global/dataiq100/davin-crowley-sweet-obe-director-of-digital-technical-competence-national-highways/): Davin Crowley-Sweet, OBE, is Director of Digital Technical Competence at National Highways, where he is responsible for transforming how the UK’s Strategic Road Network is designed, built, operated, and experienced through the effective use of data and technology.  - [David Winter, Head of Data, Direct Line](https://www.dataiq.global/dataiq100/david-winter-head-of-data-direct-line/): David Winter is Head of Data at Direct Line, where he leads the organisation’s data strategy with a focus on delivering tangible business value and enabling better decision-making across the enterprise.  - [David Thomas, Chief Data Officer, London Stock Exchange Group](https://www.dataiq.global/dataiq100/david-thomas-chief-data-officer-london-stock-exchange-group/): David Thomas, Chief Data Officer at London Stock Exchange Group, has spent 24 years working across a wide range of data roles in organisations with markedly different cultures. Each role has contributed to what he describes as a “library” of experience, a practical reference point he draws on when addressing new challenges, encompassing both what has worked and what has not.  - [David Hayes, Chief Data Officer, The Open University](https://www.dataiq.global/dataiq100/david-hayes-chief-data-officer-the-open-university-2/): David Hayes is Chief Data Officer at The Open University, where he focuses on using data and AI to improve decision-making and expand the University’s impact on learners’ lives.  - [David Castro-Gavino, Executive Director, Axial – Head of Data Deployment, AstraZeneca](https://www.dataiq.global/dataiq100/david-castro-gavino-executive-director-axial-head-of-data-deployment-astrazeneca/): David Castro-Gavino is Executive Director, Axial – Head of Data Deployment at AstraZeneca, bringing close to three decades of experience across technology, data, and analytics. His career spans consulting and executive roles, multiple continents, and industries ranging from finance and retail to life sciences, but his perspective has been shaped by addressing structural issues surfacing across a range of organisations.  - [Dave Mason, Chief Data Officer, Thales UK](https://www.dataiq.global/dataiq100/dave-mason-chief-data-officer-thales-uk-2/): Dave Mason is Chief Data Officer at Thales UK, where he leads the organisation’s data and AI strategy across both enterprise and mission-critical environments.  - [Daragh Kelly, Chief Data Officer, The Economist](https://www.dataiq.global/dataiq100/daragh-kelly-chief-data-officer-the-economist-2/): Daragh Kelly, Chief Data Officer at The Economist, began his career as an economist in the Irish government. Although he did not recognise it at the time, policy economics proved a strong foundation for a future in data and AI. While the context was different, it helped him develop capabilities that continue to shape his leadership today: statistical rigour, causal thinking, influencing non-technical audiences, navigating complexity, and effective storytelling.  - [Chrissie Kemp, Chief Data & AI Officer, Jaguar Land Rover (JLR)](https://www.dataiq.global/dataiq100/chrissie-kemp-chief-data-ai-officer-jaguar-land-rover-jlr/): Chrissie Kemp is Chief Data and AI Officer at Jaguar Land Rover (JLR), where she leads the organisation’s data, analytics, intelligent automation and AI agenda across its global brand portfolio, including Jaguar, Range Rover, Defender, and Discovery.  - [Chris Gullick, Chief Data & Artificial Intelligence Officer, Ofgem](https://www.dataiq.global/dataiq100/chris-gullick-chief-data-artificial-intelligence-officer-ofgem/): Chris Gullick, Chief Data and Artificial Intelligence Officer at Ofgem, has followed a non-linear career path that has strongly shaped his approach to data and AI leadership. He began in technology risk and assurance, an early grounding that instilled a lasting scepticism of large-scale systems and a clear-eyed view of how good intentions can translate into operational complexity. That perspective has remained central as he moved into senior data roles across professional services, technology organisations and, more recently, public service.  - [Cengiz Ucbenli, Chief Data and Analytics Officer, Centrica](https://www.dataiq.global/dataiq100/cengiz-ucbenli-chief-data-and-analytics-officer-centrica/): Cengiz Ucbenli began his career as an engineer, later adding an MBA in Turkey and a PhD from Columbia University, before finding his professional footing in New York as a senior data scientist at American Express. Working with rich transaction and customer data, he cut his teeth on large-scale personalisation and early AI applications, grounding his approach firmly in commercial outcomes rather than technical novelty.  - [Amit Pandey, Chief Data Officer, Barclays UK](https://www.dataiq.global/dataiq100/amit-pandey-chief-data-officer-barclays-group/): Amit Pandey is Chief Data Officer at Barclays UK, with a career defined by the progression from deep technical foundations to leading data-driven transformation across global financial services. He began with a Mechanical Engineering degree and early hands-on roles spanning automotive engineering, construction, and software development, building a strong systems-level understanding of complex, real-world problems. An MBA broadened his strategic perspective, strengthening his ability to operate in large, multicultural organisations and navigate enterprise-wide change.  - [Caroline Bellamy, Chief Data & AI Officer, Deputy CIO, Ministry of Defence](https://www.dataiq.global/dataiq100/caroline-bellamy-chief-data-ai-officer-deputy-cio-ministry-of-defence/): Caroline Bellamy is Chief Data and AI Officer and Deputy CIO at the UK Ministry of Defence, where she leads the organisation’s data and AI agenda across one of the most complex and mission-critical environments in government.  - [Bhavik Davda, Chief Customer Insight & Analytics Officer, AS Watson, Europe](https://www.dataiq.global/dataiq100/bhavik-davda-chief-customer-insight-analytics-officer-as-watson-europe/): Bhavik Davda is Chief Customer Insight and Analytics Officer for AS Watson Europe, where he leads customer insight, loyalty and analytics for more than 40 million members across 18 European countries.  - [Antony Bradshaw, Head of Digital Data & Analytics, Domino’s Pizza UK & Ireland](https://www.dataiq.global/dataiq100/antony-bradshaw-head-of-digital-data-analytics-dominos-pizza-uk-ireland/): Antony Bradshaw is Head of Digital Data and Analytics at Domino’s Pizza UK & Ireland, where he leads the transformation of data into a strategic asset that drives growth, performance and operational excellence. He also co-chairs the Domino’s AI Council, shaping the organisation’s approach to responsible and ethical AI adoption. - [Amanda Svensson, Deputy Director, Applied Data & Insight, Cabinet Office](https://www.dataiq.global/dataiq100/amanda-svensson-deputy-director-applied-data-insight-cabinet-office/): Amanda Svensson is Deputy Director of Applied Data & Insight at the Cabinet Office, working at the intersection of data, technology, policy, and delivery. She began her career in academia, completing a PhD in biophysics, before joining the UK Civil Service in 2016. She started at the Cabinet Office and Number 10 as Chief Data Scientist for the Government Communication Service (GCS), where she built the first central data capability from the ground up.  - [Alex Sidgreaves, Chief Data Officer, Zurich Insurance](https://www.dataiq.global/dataiq100/alex-sidgreaves-chief-data-officer-zurich-insurance-2/): Alex Sidgreaves is Chief Data Officer at Zurich Insurance UK, where she leads the organisation’s data strategy, operating model and modernisation agenda.  - [Al Mathie, Chief Data Officer, NFU Mutual](https://www.dataiq.global/dataiq100/al-mathie-chief-data-officer-nfu-mutual-3/): Al Mathie is Chief Data Officer at NFU Mutual, where he leads the organisation’s data and technology agenda with a focus on strategy, transformation and measurable business impact.  - [Adam Cresser, Data & AI Director, Notting Hill Genesis](https://www.dataiq.global/dataiq100/adam-cresser-data-ai-director-notting-hill-genesis/): Adam Cresser is Data and AI Director at Notting Hill Genesis, where he leads the organisation’s data and AI agenda with a clear focus on outcomes, impact, and value.  - [Abhishek Khandelwal, Head of Decision Intelligence, Barclays Bank Plc](https://www.dataiq.global/dataiq100/abhishek-khandelwal-head-of-decision-intelligence-barclays-bank-plc/): Abhishek Khandelwal is Head of Decision Intelligence at Barclays Bank Plc, where he leads analytics and AI strategy across the UK retail and business banking franchises.  - [Nazia Pillay, Managing Director Southern Africa, SAP](https://www.dataiq.global/dataiq100/nazia-pillay-managing-director-southern-africa-sap/): Nazia Pillay is the Managing Director of SAP Southern Africa, bringing more than two decades of experience in technology, transformation, and leadership to the role. Her focus is on unlocking value through cloud, AI, and digital transformation while fostering a people-first culture that empowers teams and drives innovation. - [Kabelo Makwane, Country Director, Google](https://www.dataiq.global/dataiq100/kabelo-makwane-country-director-google/): Kabelo Makwane is the Country Director for Google South Africa, where he leads strategy, operations, and partnerships that advance digital transformation, innovation, and inclusive growth across the country. With a strong background in business strategy and technology leadership, Kabelo focuses on helping organisations harness the power of AI, data, and cloud technologies to create meaningful impact for consumers, enterprises, and government. - [Ziaad Suleman, Chief Executive Officer, Cassava Technologies](https://www.dataiq.global/dataiq100/ziaad-suleman-chief-executive-officer-cassava-technologies/): Ziaad Suleman is the Chief Executive Officer of Cassava Technologies operations for South Africa and Botswana, where he leads strategy, business growth, and operations across a diverse portfolio of companies, including Liquid Intelligent Technologies, Africa Data Centres, Sasai Fintech, Liquid Cloud and Security, and CassavaAI. - [Pierre Myburg, Software and Platform Engineering Lead, Accenture](https://www.dataiq.global/dataiq100/pierre-myburg-software-and-platform-engineering-lead-accenture/): Pierre has more than 17 years experience in consulting and large-scale delivery across telecommunications, FMCG, utilities, and government. He specialises in designing and implementing complex enterprise solutions that drive digital transformation and measurable business outcomes. - [Linda Saunders, Country Manager & Senior Director of Solution Engineering Africa, Salesforce](https://www.dataiq.global/dataiq100/linda-saunders-country-manager-senior-director-of-solution-engineering-africa-salesforce/): Linda Saunders is the Country Manager and Senior Director of Solution Engineering Africa at Salesforce where she leads the company’s mission to help organisations engage with their customers in new and innovative ways through the power of AI, data, CRM, and trust. - [Andre Nienaber, Enterprise Account Manager, Tableau](https://www.dataiq.global/dataiq100/andre-nienaber-enterprise-account-manager-tableau/): André Nienaber is an accomplished Enterprise Account Manager at Tableau, with over 18 years of experience in data analytics, business intelligence, and enterprise technology across Africa and the Middle East. Renowned for his ability to drive growth and deliver customer success, André has built a career defined by strong technical expertise, strategic sales leadership, and trusted partnerships with major enterprise clients. - [Refiloe Olifant, Enterprise Account Manager, Qlik](https://www.dataiq.global/dataiq100/refiloe-olifant-enterprise-account-manager-qlik/): Refiloe manages a portfolio of strategic mid-market clients, helping organisations unlock the full value of their data through Qlik’s market-leading data integration and analytics solutions. In her role, she is responsible for account strategy, sales execution, and customer relationship management, driving both new business growth and long-term client success across diverse industries. - [Dean Erasmus, Chief Data Officer, Microsoft](https://www.dataiq.global/dataiq100/dean-erasmus-chief-data-officer-microsoft/): Dean Erasmus is the Chief Data Officer at Microsoft South Africa, where he leads the company’s data and AI strategy and drives AI transformation and data monetisation initiatives that empower customers to achieve measurable business growth. Overseeing teams across data, AI, and applications, Dean focuses on delivering transformative customer engagements that harness the full potential of Microsoft’s cloud and AI technologies. - [Howard Diesel, Chief Data Officer, Modelware Systems](https://www.dataiq.global/dataiq100/howard-diesel-chief-data-officer-modelware-systems/): Howard Diesel is the Chief Data Officer at Modelware Systems and President of DAMA Southern Africa, where he champions the advancement of data management skills and governance excellence across the continent. With extensive experience supporting major financial institutions in banking, insurance, and central banking, Howard specialises in helping organisations establish effective Enterprise Information Management (EIM) and Data Governance programmes that deliver measurable business value. - [Andile Bota, Enterprise Account Executive, Qlik](https://www.dataiq.global/dataiq100/andile-bota-enterprise-account-executive-qlik/): Andile Bota helps organisations turn raw data into actionable insights - fast, securely, and at scale. - [Ryan James, Chief Data Officer, Vitality](https://www.dataiq.global/dataiq100/ryan-james-chief-data-officer-vitality/): Ryan James is the Chief Data Officer at Vitality Group Inc., where he leads the organisation’s data strategy, architecture, and innovation agenda. With more than three decades of experience across healthcare, public service, and technology sectors, Ryan is recognised for his ability to bridge technical depth with strategic vision, turning data into a catalyst for business transformation.  - [Deepak Narayanam, Group Head of Data Science and Engineering (CDO), Access Bank](https://www.dataiq.global/dataiq100/deepak-narayanam-group-head-of-data-science-and-engineering-cdo-access-bank/): Deepak Narayanam is the Group Head of Data Science and Engineering (CDO) at Access Bank, where he leads the Group’s Data and AI Strategy across its Pan-African operations and fintech subsidiaries. A visionary data leader and strategic innovator, Deepak is recognised for architecting and deploying transformative data strategies that harness analytics, machine learning, and technology to enhance customer experience, product performance, and operational excellence.  - [Mandla Linda, Chief Information Officer, South African Department of Defence](https://www.dataiq.global/dataiq100/mandla-linda-chief-information-officer-south-african-department-of-defence/): Mandla Linda is the Chief Information Officer at the South African Department of Defence, where he leads the organisation’s ICT strategy, governance, and digital transformation agenda. With extensive experience across both the public and private sectors, Mandla is recognised for his ability to align technology with institutional objectives, driving efficiency, security, and innovation within complex operational environments.  - [Eon Alers, Data, Analytics and Architecture Director, ABInBev](https://www.dataiq.global/dataiq100/eon-alers-data-analytics-and-architecture-director-abinbev/): Eon Alers is the Data, Analytics and Architecture Director at AB InBev, where he leads the development and implementation of data and technology strategies that empower smarter decision-making and sustained business growth. Passionate about innovation, Eon is dedicated to exploring how emerging technologies can reshape the way organisations operate and compete - transforming data into a driver of strategic value.  - [Charl Timms, Chief Commercial Officer, Stellantis](https://www.dataiq.global/dataiq100/charl-timms-chief-commercial-officer-stellantis/): Charl Timms is the Commercial Director at Stellantis, where he drives the organisation’s marketing and sales strategy across diverse markets. An accomplished business leader and value creator, Charl brings extensive experience spanning strategic planning, branding and communications, and performance management for leading automotive brands including Nissan, Toyota, and Suzuki across the MENA region, South Africa, and sub-Saharan Africa.  - [Ritasha Kalidas, Cyber Security Officer, Coca-Cola Beverages Africa](https://www.dataiq.global/dataiq100/ritasha-kalidas-cyber-security-officer-coca-cola-beverages-africa/): Ritasha Kalidas is the Group Head of Cyber Security at Coca-Cola Beverages Africa (CCBA), where she leads the organisation’s cyber security, privacy, and IT governance strategy across multiple regions and markets. With more than 21 years of experience, Ritasha has built a distinguished career at the intersection of information security, risk, compliance, and data governance, spanning sectors as diverse as banking, telecommunications, manufacturing, petrochemicals, entertainment, and the military.  - [Patricia Maqetuka, Chief Data Officer, Nedbank](https://www.dataiq.global/dataiq100/patricia-maqetuka-chief-data-officer-nedbank/): Patricia Maqetuka is the Chief Data Officer at Nedbank, where she leads the bank’s enterprise data strategy, governance, and innovation agenda. With a distinguished career spanning technology, analytics, and financial services, she is recognised for her ability to align data and digital transformation with strategic business outcomes.  - [Menzi Sithole, Chief Data and Information Officer (Africa, Middle East and LATAM), Unilever](https://www.dataiq.global/dataiq100/menzi-sithole-chief-data-and-information-officer-africa-middle-east-and-latam-unilever/): Menzi Sithole is the Chief Data and Information Officer for Africa, the Middle East and Latin America at Unilever, where he leads the organisation’s digital, data and technology agenda across diverse and rapidly evolving markets. With a career spanning over 15 years, Menzi brings deep experience in IT strategy, business analysis, project management, and enterprise systems to one of the world’s largest consumer goods companies.  - [Mark Goodman, Chief Data Officer, PSG Financial Services](https://www.dataiq.global/dataiq100/mark-goodman-chief-data-officer-psg-financial-services/): Mark Goodman is the Group Chief Data Officer at PSG Financial Services, where he leads the organisation’s data strategy, governance, and management initiatives. With a strong foundation in data architecture, Mark has built a career around enabling organisations to turn data into a strategic asset, balancing the right mix of people, processes, and technology to deliver measurable business value.  - [Jeniffer Ramnath, Chief Digital and Information Officer, Mastercard Foundation](https://www.dataiq.global/dataiq100/jeniffer-ramnath-chief-digital-and-information-officer-mastercard-foundation/): Jeniffer Ramnath is the Chief Digital and Information Officer (CDIO) at the Mastercard Foundation, where she leads the organisation’s digital and technology strategy to advance its mission of enabling young people in Africa and Indigenous youth in Canada to access dignified and meaningful work. She joined the Foundation in January 2024, bringing with her over 27 years of leadership experience in technology strategy, transformation, and business management across multiple industries.  - [Ismail Rasool, Chief Data Officer, Discovery Health](https://www.dataiq.global/dataiq100/ismail-rasool-chief-data-officer-discovery-health/): Ismail Rasool is the Chief Data Officer and an Executive at Discovery Health, where he leads a multidisciplinary team of doctors, actuaries, statisticians, data scientists, developers, and business intelligence specialists. Together, they drive the analytics, intelligence, big data, and business solutions that underpin the operations of South Africa’s largest private health insurer, supporting clinical risk management, operational excellence, and international markets.  - [Hartnell Ndungi, Chief Data Officer, Africa, Absa Group](https://www.dataiq.global/dataiq100/hartnell-ndungi-chief-data-officer-africa-absa-group/): Hartnell Ndungi is the Chief Data Officer for Africa Regional Operations at Absa Group, where he leads the continent’s enterprise data strategy, governance, analytics, AI, and data monetisation agenda. His remit centres on turning data into a strategic asset, ensuring its effective use across business lines to drive performance, innovation, and growth.  - [Ridwaan Rasool, CIO Core Banking Transformation, Investec](https://www.dataiq.global/dataiq100/ridwaan-rasool-cio-core-banking-transformation-investec/): Ridwaan Rasool is a seasoned technology executive with more than two decades of experience in IT leadership, digital transformation, and data strategy across multiple continents. He currently serves as Chief Information Officer: Core Banking Transformation at Investec, where he leads the evolution of the bank’s core banking, card, and payments capabilities.  - [Nollie Maoto, Chief Data and Analytics Officer, FirstRand](https://www.dataiq.global/dataiq100/nollie-maoto-chief-data-and-analytics-officer-firstrand/): Nollie Maoto is the Chief Data and Analytics Officer at FirstRand. Her career has been anything but linear – a challenging yet deeply fulfilling journey that has taken her from studying to become a Chartered Accountant to establishing herself as a leader in Business Intelligence, Data Science, and Analytics.  - [Werner Swanepoel, Senior Vice President – Digital, Sibanye-Stillwater](https://www.dataiq.global/dataiq100/werner-swanepoel-senior-vice-president-digital-sibanye-stillwater/): Werner Swanepoel is the Senior Vice President for Digital at Sibanye-Stillwater, where he leads the introduction and integration of digital solutions, including analytics and artificial intelligence, across the organisation.  - [Daniela Marx, Exec Data, Pepkor NexTech](https://www.dataiq.global/dataiq100/daniela-marx-exec-data-pepkor-nextech/): Daniela Marx began her career as a developer before progressing into roles as a Database Administrator and later a Data Warehouse specialist. Her technical foundation and strategic vision eventually led to her appointment as an executive.  - [Claire Tolmay, Product Line Head: AI and Analytics, Capitec](https://www.dataiq.global/dataiq100/claire-tolmay-product-line-head-ai-and-analytics-capitec/): Claire Tolmay has built her career at the intersection of science, business, and data, driven by a deep passion for applying analytics and artificial intelligence to solve complex challenges. Holding master’s degrees in Physiology and Psychology, along with a postgraduate qualification in Data Science and Business Analytics, she brings a uniquely multidisciplinary perspective to leadership in data and AI.  - [Mpho Mokoena, Senior Manager in Data analytics, Data science and CCM, MTN](https://www.dataiq.global/dataiq100/mpho-mokoena-senior-manager-in-data-analytics-data-science-and-ccm-mtn/): Mpho Mokoena is a Senior Manager in Data Analytics, Data Science, and Continuous Control Monitoring (CCM) at MTN. With nearly a decade of experience in data science, Mpho’s career has been driven by a deep passion for mathematics and a distinctive analytical mindset.  - [Vukosi Sambo, Group CIO and CDO, PHA, STM Healthcare & Marara Group](https://www.dataiq.global/dataiq100/vukosi-sambo-group-cio-and-cdo-pha-stm-healthcare-marara-group/): Vukosi Sambo is a global, multi-award-winning executive and thought leader specialising in Artificial Intelligence, Data Management, and Technology Management. With over 16 years of experience, he has led the implementation of technology and data strategies that deliver measurable return on investment from information assets, driving both digital and business transformation outcomes.  - [Marius Papenfus, Head: Enterprise Data Management, South African Revenue Service](https://www.dataiq.global/dataiq100/marius-papenfus-head-enterprise-data-management-south-african-revenue-service/): Marius Papenfus has spent more than 30 years working as an information and communications technologist, using his grounding in technology enablement to shape strategy and drive transformation across both government and the private sector. His career spans multiple industries and includes roles in enterprise architecture, programme management, service management, business leadership, and strategy development.  - [Brett McDougall, Chief Information Officer, The SPAR Group Limited](https://www.dataiq.global/dataiq100/brett-mcdougall-chief-information-officer-the-spar-group-limited/): Brett McDougall qualified as a Chartered Accountant in 2003 but chose not to practise in the field, instead pivoting to technology strategy and governance the following year. Since then, he has held a series of senior roles in information technology, combining financial discipline with strategic and operational leadership in large, complex organisations.  - [Dr. Sandile Mbatha, National Chief Data Officer, COGTA](https://www.dataiq.global/dataiq100/dr-sandile-mbatha-national-chief-data-officer-cogta/): Dr. Sandile Mbatha has spent over 15 years working at the intersection of data, digital transformation, and governance. His career has been defined by a commitment to using data and technology to make government more responsive, efficient, and people centred.  - [Allister Mowbray, Chief Data and Analytics Officer: TTS, Rand Merchant Bank](https://www.dataiq.global/dataiq100/allister-mowbray-chief-data-and-analytics-officer-tts-rand-merchant-bank/): Allister Mowbray began his career as a quantitative analyst, working on hedge fund reporting for a niche investment firm. He later joined a data science consultancy in Cape Town, where he spent several years building machine learning models while also developing his skills in team and project management. From there, he moved into banking, establishing the data science capability in FX at First National Bank in South Africa. His success in this role led to his appointment as Chief Data and Analytics Officer within the same space. After nearly eight years working in FX, Allister transitioned into the Rand Merchant Bank franchise, where he now serves as CDAO responsible for Corporate Banking.  - [Bramley Maetsa, Digital Innovation Enablement Lead, Sasol](https://www.dataiq.global/dataiq100/bramley-maetsa-digital-innovation-enablement-lead-sasol/): Bramley Maetsa brings over 20 years of experience in IT, with a career spanning consulting, software development, IT service management, and digital transformation across multiple geographies. He has led enterprise-wide digital operating models, digital toolchains, and modern ways of working that have transformed how organisations deliver value.  - [Nokuthula Marjorie Ngonyama, Group Chief Information Officer, PRASA (Passenger Rail Agency of South Africa) ](https://www.dataiq.global/dataiq100/nokuthula-marjorie-ngonyama-group-chief-information-officer-prasa-passenger-rail-agency-of-south-africa/): Nokuthula Marjorie Ngonyama’s career spans more than 25 years at the intersection of technology, business transformation, and leadership. Beginning in systems and finance, she built a foundation that enabled her to bridge technical expertise with commercial value. Over the years, she has led enterprise-scale ICT modernisation initiatives, ERP transformations, cloud migrations, and ticketing innovations, with a strong focus on governance and sustainable delivery.  - [Nicole Harris, Chief Technology Officer, Massmart](https://www.dataiq.global/dataiq100/nicole-harris-chief-technology-officer-massmart/): Nicole Harris is a technology executive with over 21 years of experience in the retail industry and currently serves as Chief Technology Officer at Massmart (Walmart Africa). Her career has been built on leading large-scale digital and technology transformations that simplify complex landscapes, unlock growth, and deliver meaningful business impact. She operates at the intersection of strategy and execution, ensuring that technology not only enables but accelerates business outcomes. - [Mark Nasila, Chief Data and Analytics Officer, FNB Risk, First National Bank](https://www.dataiq.global/dataiq100/mark-nasila-chief-data-and-analytics-officer-fnb-risk-first-national-bank/): Mark is a regular speaker at key events such as the Business-Tech Digital Banking Conference, Chief Data and Analytics Officer forums, and the SingularityU South Africa Summit, sharing his insights into the future of AI and big data. He is a board member of Moody’s Analytics Europe and Africa advisory board, where he shares his thoughts and predictions with a broader audience and has established himself as an expert in his field.  - [Patrick Kariuki, Deputy Director-Head Data Management Office, NCBA Bank](https://www.dataiq.global/dataiq100/patrick-kariuki-deputy-director-head-data-management-office-ncba-bank/): Patrick Kariuki’s career in data has been rooted in the financial services sector, beginning as a Business Intelligence Analyst and progressing to the role of Chief Data Officer at one of the largest banks in the region.  - [Sibusiso Ngubeni, Execution Head: Data and Analytics, CIB, Strategy Enablement, Standard Bank](https://www.dataiq.global/dataiq100/sibusiso-ngubeni-execution-head-data-and-analytics-cib-strategy-enablement-standard-bank/): DataIQ asked: “How do you see the role of the data leader evolving over the next 12-24 months?”  - [Ashina Buddu, Global Head of Business Intelligence and Data Analytics, Anglo American](https://www.dataiq.global/dataiq100/ashina-buddu-global-head-of-business-intelligence-and-data-analytics-anglo-american/): Ashina Buddu is a seasoned Process Engineer with a career spanning both technical leadership and general management within the mining industry. She thrives on analysing complex systems, identifying constraints, and unlocking performance through debottlenecking, whether through physical redesign, process optimisation, automation, or AI.  - [Simon Walker, Chief Commercial Officer and Co-Founder, Kubrick](https://www.dataiq.global/dataiq100/simon-walker-chief-commercial-officer-and-co-founder-kubrick/): I founded Kubrick in 2016 with my long-time business partner Tim Smeaton to address what would soon become a Digital Skills Emergency; we knew data was becoming more intrinsic to how organizations operated, but the lack of available skills in the market would impede major brands from accessing the talent that Big Tech was monopolizing. We realized by training our own workforce of consultants, we could help kickstart the careers of bright graduates while giving clients the talent they needed to get their data in order - which we all know is a monumental task. - [Luke Coley, Vice President, EMEA, Alation](https://www.dataiq.global/dataiq100/luke-coley-vice-president-emea-alation/): Luke Coley is a seasoned data and analytics leader with a career spanning over two decades across data quality, automation, and AI. Prior to joining Alation, Luke held senior roles at Dataminr, Gigya, and Experian, where he consistently bridged the gap between technology capabilities and customer outcomes. Now as Vice President of EMEA at Alation, Luke champions the strategic priorities of data leaders across the region and is passionate about enabling transformation. Luke advises teams on strategies to gain a holistic view of their data intelligence landscape - driving innovation and long-term success. - [Andres Vives, Senior Vice President and Chief Data and Analytics Officer, VISA](https://www.dataiq.global/dataiq100/andres-vives-senior-vice-president-and-chief-data-and-analytics-officer-visa/): I am the Chief Data Officer at Visa, bringing over two decades of experience in driving business transformation and revenue growth through data, analytics, and strategic leadership. Throughout my career, I have specialized in setting enterprise-wide strategy, navigating complex innovation agendas, and building high-performing teams that deliver measurable impact.  - [Lori Wade, Intelligence Community Chief Data Officer, US Intelligence](https://www.dataiq.global/dataiq100/lori-wade-intelligence-community-chief-data-officer-us-intelligence-2/): As Intelligence Community Chief Data Officer, I lead the strategic effort to reimagine the Intelligence Community’s data landscape for the digital era, shaping how we harness, share, and protect data to advance national security.  - [Alan John, Global Vice President, Chief Data and AI Officer, Nike](https://www.dataiq.global/dataiq100/alan-john-global-vice-president-chief-data-and-ai-officer-nike/): I am a global technology executive with over 25 years of experience leading enterprise-wide transformation across AI, data, and cloud. As Chief Data and AI Officer at Nike, I am responsible for the strategy behind our AI innovation, data platform modernization, and scalable cloud infrastructure, enabling hyper-personalized consumer experiences, operational intelligence, and digital growth at scale.  - [Rachel Wilson, Chief Data Officer and Managing Director, Morgan Stanley Wealth Management](https://www.dataiq.global/dataiq100/rachel-wilson-chief-data-officer-and-managing-director-morgan-stanley-wealth-management/): At Morgan Stanley I lead efforts to defend our technology stack; from the physical and network layers to applications, devices, and client-facing digital offerings. With nearly 600 branches, 17,000 advisors, and seven million clients, protecting this infrastructure is no small task, especially as wealth management becomes increasingly internet-facing.  - [Gina Morris, Chief Data and Analytics Office – Enterprise Operations