Price: $35.00 - $26.16
(as of Oct 15, 2024 11:08:44 UTC – Details)
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.
Publisher : Harvard Business Review Press; Illustrated edition (February 25, 2014)
Language : English
Hardcover : 228 pages
ISBN-10 : 1422168166
ISBN-13 : 978-1422168165
Item Weight : 1 pounds
Dimensions : 6.2 x 0.9 x 9.2 inches
Customers say
Customers find the book very useful, with clear concepts and great case studies. They say it contains basic information and good examples for data scientists to use in working with general marketers. Readers describe the book as a great read that doesn’t read like a textbook. They also appreciate the perspective and interesting insights, particularly into human elements of big data.
AI-generated from the text of customer reviews
