Tom Davenport is the President's Distinguished Professor of Information Technology and Management at Babson College. He has led research centers at Accenture, McKinsey and Company, Ernst & Young, and CSC Index, and has taught at Harvard Business School, Dartmouth's Tuck School, the University of Texas, and the University of Chicago. He is a widely published author and speaker on the topics of analytics, information and knowledge management, reengineering, enterprise systems, and electronic business. Tom's latest book--coauthored with Jeanne Harris--is Competing on Analytics: The New Science of Winning, a best-seller that has been translated into 13 languages. Prior to this, Tom wrote, co-authored or edited twelve other books, including the first books on business process reengineering, knowledge management, attention management, and enterprise systems. He has written over 100 articles for such publications as Harvard Business Review, Sloan Management Review, California Management Review, the Financial Times, and many other publications, and has been a columnist for Information Week, CIO, and Darwin magazines. In 2003 he was named one of the world's top 25 consultants by Consulting magazine, and in 2007 and 8 was named one of the 100 most influential people in the IT industry by Ziff-Davis magazines. His blog for Harvard Business Online is http://discussionleader.hbsp.com/davenport/

Go ahead, be skeptical about big data. The author was—at first.

When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind.

Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold.

This book will help you understand:

• Why big data is important to you and your organization

• What technology you need to manage it

• How big data could change your job, your company, and your industry

• How to hire, rent, or develop the kinds of people who make big data work

• The key success factors in implementing any big data project

• How big data is leading to a new approach to managing analytics

With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.