Mike Rollings is a Distinguished VP Analyst with Gartner's Chief Data Officer Research team. He covers the transformation required to become a data-driven enterprise, data monetization and information products, the strategic use and governance of data, the business value of artificial intelligence and how to drive enterprise behavior change. Prior to joining the team, he facilitated peer interactions and conducted member-directed research for CIOs of the world's largest global companies in Gartner's Research Board. He led studies about driving enterprise agility, using customer experience and engagement to drive competitive advantage, and the impact of machine intelligence on the future of work and outsourcing.
Mr. Rollings is a winner of Gartner's 2017 Thought Leadership Award for busting AI myths, as well as the 2013 Thought Leadership Award for his examination of the changing IT career, talent and leadership. His over 30 years' experience covers strategy, transformation, innovation, human behavior, collaborative organizational change, communication and influence and cross-discipline effectiveness.
Prior to joining Gartner, Mr. Rollings was a Managing Principal for Momentum Strategies, a private consultancy performing strategic program management, data strategy, enterprise architecture and governance consulting. Experience he gained at Momentum included establishing a global program office for data quality and interoperability, as well as implementing related governance changes for a global payment processing organization.
Prior to that, he was the Vice President and Practice Lead for Meta Group's domestic strategy consulting practice, providing IT strategy, enterprise architecture, IT investment management, portfolio and program management, and organization development consulting to Fortune 1000 and public sector organizations. His role included the development and implementation of IT investment plans and IT management processes that align application, infrastructure and other technology investments with strategic business drivers and objectives. While at Meta Group, he created an enterprise architecture project delivery methodology and co-created Meta Group's value management and portfolio management method â an approach to create, analyze, balance and manage a given IT investment or asset portfolio.
Prior to Meta Group, Mr. Rollings was responsible for enterprise architecture at Anheuser-Busch where his experience included managing sales and marketing systems, as well as serving as a strategist responsible for information-based selling strategy.
Vice President and Practice Lead
Data and Analytics Leaders
Data and Analytics Strategies
B.S., Computer Science, University of Missouri
1How to become a data-driven organization? Digital business strategy, data and analytics strategy (not vendors and technology), Impact of AI on business strategy, Business value of AI
2How to pursue data and analytics? Role of Chief Data Officer (CDO), CDO and CIO relationship (plus other executives), CDO organization, Data and analytics programs
3How to organize for data and analytics? Data and analytics organization, Competencies required, Culture/Organizational change and transformation, Diversity and Inclusion
4How to maximize value of data and analytics assets? Infonomics, Information value and monetization, Information product management, Information governance, IT governance
5How do we innovate with information? What is the future of strategy? What are considerations for ecosystem and data-driven business models?