Big Data at Work
- Length: 240 pages
- Edition: 1
- Language: English
- Publisher: Harvard Business Review Press
- Publication Date: 2014-02-25
- ISBN-10: 1422168166
- ISBN-13: 9781422168165
- Sales Rank: #168422 (See Top 100 Books)
Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
Go ahead, be skeptical about big data. The author wasat 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 meansand 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 opportunitiesfrom 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.
Table of Contents
Chapter 1: Why Big Data Is Important to You and Your Organization
Chapter 2: How Big Data Will Change Your Job, Your Company, and Your Industry
Chapter 3: Developing a Big Data Strategy
Chapter 4: The Human Side of Big Data
Chapter 5: Technology for Big Data
Chapter 6: What It Takes to Succeed with Big Data
Chapter 7: What You Can Learn from Start-Ups and Online Firms
Chapter 8: What You Can Learn from Large Companies
Appendix: Big Data Readiness Assessment Survey
