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Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

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  • Thomas H Davenport
  • Harvard Business Review Press
  • Hardcover
  • 9781422168165
  • 9.2 X 6.2 X 0.9 inches
  • 1 pounds
  • Business & Economics > Management - General
  • English
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Book Description

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.

Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

Author Bio

Tom Davenport is the President's Distinguished Professor of Information Technology and Management at Babson College, co-founder of the International Institute for Analytics, Fellow at the MIT Initiative on the Digital Economy, and Senior Advisor to Deloitte Analytics. He teaches analytics/big data in executive programs at Babson, Harvard Business School and School of Public Health, and MIT Sloan School.

Davenport pioneered the concept of competing on analytics with his best-selling 2006 Harvard Business Review article and 2007 book. His most recent book is The AI Advantage: How to Put the Artificial Intelligence Revolution to Work. He wrote or edited nineteen other books and over 200 articles for Harvard Business Review, Sloan Management Review, The Financial Times, and many other publications. He is a regular contributor to the Wall Street Journal and Forbes. He has been named one of the top 25 consultants by Consulting News, one of the 100 most influential people in the IT industry by Ziff-Davis, and one of the world's top fifty business school professors by Fortune magazine.

 

 

Source: Babson College 

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