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Gartner Expert
Alan D. Duncan
Distinguished VP Analyst
Alan D. Duncan is Distinguished Vice President for Data, Analytics and AI Strategy and Chief Data & Analytics Officers (CDAO).
Major areas of interest include:
- Data, analytics and AI strategies and operating models
- AI-first business transformation, data and AI literacy and AI-ready culture. Influencing the organizational, cultural and behavioral change impacts arising from AI-first, data-driven and digital business approaches.
- Business value of data, analytics and AI. Identifying, communicating and realizing business outcomes and value (including treating information as an asset and data monetization)
Previous experience
Mr. Duncan is a recognized authority and executive leader in the fields of data, analytics and AI strategy, AI-first and data-driven culture and business change with data and AI literacy.
In a career spanning over 34 years, Mr. Duncan has provided strategic advice and delivery for with international clients in a diverse range of industry sectors, including telecommunications, financial services, retail, state and federal government, natural resources, healthcare, utilities, and manufacturing.
He is also an Associate Member of Faculty at University College Cork (UCC), where he lectures on the MSc programmes for Data Business and Digital Health.
Professional background
UNSW Australia (University of New South Wales), Director of Data Governance (CDO), 2 years
SMS Management & Technology, National Competency Leader, Information and Data Management, 4 years
Acuma Solutions, Client Partner, Information Communications and Media, 4 years
Areas of coverage
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Data and Analytics Leadership and Programs
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Improve D&A Literacy and Drive Change
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Align D&A Strategy With Organizational Priorities
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Become a High-Performing D&A Leader
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Develop Use Cases for D&A and AI
Education
B.Eng., With Honors, Electronics Engineering, University of Aberdeen
Top Issues That I Help Clients Address
AI-first and data-driven culture change; data and AI literacy; evidence-based decision making and business transformation
Data, analytics and AI strategy and operating models
Developing organizational capability for AI-ready, data-driven and digital business: communities of excellence, competency centers
Business value of data, analytics and AI analytics; information as an asset; data monetization; infonomics
Data and analytics strategy for midsized enterprises