Getting Big Benefits from Big Data
How must big companies evolve in order to realize big value from big data? Investing in data, technology and data scientists is just a first step. In this topic, Jeanne Harris, (Global Managing Director of Information Technology Research at the Accenture Institute for High Performance and co-author of the business bestselling books Competing on Analytics and Analytics at Work) will explain how leaders who want to consistently out-smart and out-execute their rivals are also transforming their decision processes, culture, organization and managerial skills.
Jeanne Harris
Accenture
Jeanne Harris is the Global Managing Director of Information Technology Research and Executive Research Fellow at the Accenture Institute for High Performance in Chicago. Jeanne leads the Institute’s global research agenda, which currently includes data monetization strategies, embedding Big Data analytics, and understanding and exploiting digital experiences. She is co-author of “Competing on Analytics: The New Science of Winning” and “Analytics at Work: Smarter Decisions, Better Results” from Harvard Business School Press. She is on the faculty of Columbia University and is the recipient of Consulting Magazine’s Women Leaders in Consulting Award for Lifetime Achievement in 2009.
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Comments
Jeanne, I have enjoyed reading your books and listening to your talks. What I would have liked to hear is a sort of different tack on what Big data means to growing enterprises not just big companies. What I refer to is a successful rapidly growing company that is growing rapidly (think VMware a few years ago). Your comment about measurable and repeatable patterns of management (in Big data) perhaps has significant meaning to such growing enterprises so that they can effectively get value from data learning from prior experiences. Also wanted to get some perspective on what strategy differences (if any) apply to small companies with a big data problem, big companies with big data problem and companies of all size with a not so big data problem.