Big Data at Work Big Data at Work

Big Data at Work

Dispelling the Myths, Uncovering the Opportunities

    • 4.2 • 5개의 평가
    • US$34.99

출판사 설명

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.

장르
비즈니스 및 개인 금융
출시일
2014년
2월 4일
언어
EN
영어
길이
224
페이지
출판사
Harvard Business Review Press
판매자
Lightning Source, LLC
크기
1.7
MB
The Insight Economy The Insight Economy
2012년
Competing on Analytics: Updated, with a New Introduction Competing on Analytics: Updated, with a New Introduction
2017년
Big Data in Practice Big Data in Practice
2016년
Business Analytics Business Analytics
2012년
The Big Data Gold Rush The Big Data Gold Rush
2013년
The AI-First Company The AI-First Company
2021년
Keeping Up with the Quants Keeping Up with the Quants
2013년
Analytics at Work Analytics at Work
2010년
Artificial Intelligence Artificial Intelligence
2019년
Judgment Calls Judgment Calls
2012년
HBR's 10 Must Reads 2017 HBR's 10 Must Reads 2017
2016년
HBR's 10 Must Reads on AI, Analytics, and the New Machine Age (with bonus article "Why Every Company Needs an Augmented Reality Strategy" by Michael E. Porter and James E. Heppelmann) HBR's 10 Must Reads on AI, Analytics, and the New Machine Age (with bonus article "Why Every Company Needs an Augmented Reality Strategy" by Michael E. Porter and James E. Heppelmann)
2018년