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 Davenport Tom 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

  • Every Leader’s Guide to the Ethics of AI

    As artificial intelligence-enabled products and services enter our everyday consumer and business lives, there’s a big gap between how AI can be used and how it should be used.


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  • What Process Mining Is, and Why Companies Should Do It

    Tom Davenport discusses how process mining, a relatively new and innovative technology, has the capability to revitalize process management in firms where it has lain fallow for years.


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  • Is HR the Most Analytics-Driven Function?

    Human resources has always had plenty of analytics potential, but new data suggests it has evolved into an analytics leader.


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  • The AI Roles Some Companies Forget to Fill

    AI talent goes far beyond machine learning Ph.D’s. Equally important and less understood are the set of talent issues emerging around AI product development and engineering. Most firms have not...


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  • Working with Robots: Get Used To It

    Tom Davenport doesn’t make a ringing endorsement for robots in the workplace. The renowned analytics and knowledge management scholar used a trio of unflattering adjectives to describe the machines...


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  • Bring Your Own Robot

    A startup called Jibo will soon introduce a social robot for the home. One for the office can’t be far behind.


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  • 5 Essential Principles for Understanding Analytics

    Data, hardware, and software are available in droves, but human comprehension of the possibilities they enable is much less common.


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  • How AI And Machine Learning Are Helping Drive The GE Digital Transformation

    In a matter of only a few years, GE has migrated from being an industrial and consumer products and financial services firm to a “digital industrial” company with a strong focus on the “Industrial...


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  • 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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Teaches In

Advanced Management Program May 28-Jun 27, 2019 | Jan 7-Feb 6, 2020 | May 26-Jun 25, 2020