Tom Davenport


President’s Distinguished Professor of Information Technology and Management, Babson College
Co-founder, International Institute for Analytics
Fellow, MIT Center for Digital Business

 

Tom DavenportTom Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Center for Digital Business, and a Senior Advisor to Deloitte Analytics. He was among the first to write about both business process reengineering and knowledge management. More recently, he pioneered the concept of “competing on analytics” with his best-selling 2006 Harvard Business Review article (and his 2007 book by the same name). His most recent book is Big Data at Work, forthcoming from Harvard Business Review Press in January 2014. He wrote or edited sixteen other books and over 100 articles for Harvard Business Review, Sloan Management Review, the Financial Times, and many other publications. In 2003 he was named one of the world’s “Top 25 Consultants” by Consulting magazine. In 2005 Optimize magazine’s readers named him among the top 3 business/technology analysts in the world. In 2007 and 2008 he was named one of the 100 most influential people in the IT industry by Ziff-Davis magazines. In 2012 he was named one of the world’s top fifty business school professors by Fortune magazine.

Faculty Media

  • Business Analytics Defined

    Thomas H. Davenport defines descriptive, predictive, and prescriptive analytics—and when to use each.


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  • Beyond Automation

    Suddenly, it seems, people in all walks of life are becoming very concerned about advancing automation. And they should be.


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  • Video: Big Data and Analytics Right Now

    Two of the biggest names in analytics thought leadership, Erik Brynjolfsson and Thomas H. Davenport, discuss the aspects of analytics that business leaders should be thinking about right now.


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  • It's Way Too Late Not to Know Where Your Data Is

    One of the paradoxes of IT planning and architecture is that they have made it more difficult for people to find the data they need to do their work.


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  • Keep Up with Your Quants

    When I asked the leader of the mortgage business why he’d ignored the advice, he said, “If the analyst showed me a model, it wasn’t in terms I could make sense of. I didn’t even know his group was...


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  • Tom Davenport's Guide to Big Data

    Big Data at Work: Dispelling the Myths, Uncovering the Opportunities, is a new book from Tom Davenport, a veteran observer of the data analysis scene.


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  • What Makes Big Data Projects Succeed

    Tom Davenport, newest faculty member of Big Data, Making Complex Things Simpler, shares some of the key things he's learned from companies that are realizing substantial business value with their...


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  • Ten Kinds of Stories to Tell with Data

    For almost a decade, I have heard that good quantitative analysts can tell a story with data. Narrative is—along with visual analytics—an important way to communicate analytical results to...


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  • Harnessing Quant Power

    In Thriving in a Big Data World in the Winter 2014 issue of MIT Sloan Management Review, Hayashi reviews 2013's Keeping Up with the Quants: Your Guide to Understanding and Using Analytics (Harvard...


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  • Looking Outward with Big Data: A Q&A with Tom Davenport

    The management scholar provides an incisive look at the true potential of big data and the many challenges to unleashing it.


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