Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data / Edition 1

Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data / Edition 1

by Thomas H. Davenport, International Institute for Analytics
     
 

The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management

Organizations are capturing exponentially larger amounts of data than

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Overview

The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management

Organizations are capturing exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantage. Suddenly, you can go beyond understanding “how, when, and where” events have occurred, to understand why – and use this knowledge to reshape the future. Now, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) have brought together the latest techniques, best practices, and research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today’s definitive guide to analytics strategy, planning, organization, implementation, and usage. It covers everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance. The authors offer specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world examples, including chapter-length case studies from healthcare, retail, and financial services. Enterprise Analytics will be an invaluable resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product managers; product, financial, and marketing analysts; CIOs and other IT leaders; data, web, and data warehouse specialists, and many others.

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Product Details

ISBN-13:
9780133039436
Publisher:
Pearson FT Press
Publication date:
10/03/2012
Series:
FT Press Operations Management Series
Edition description:
New Edition
Pages:
288
Sales rank:
643,611
Product dimensions:
5.90(w) x 9.10(h) x 1.20(d)

Table of Contents

Foreword and Acknowledgments xii
Jack Phillips
About the Authors xiv
Introduction: The New World of Enterprise Analytics
Thomas H. Davenport

Part I: Overview of Analytics and Their Value
Chapter 1 What Do We Talk About When We Talk About Analytics? 9
Thomas H. Davenport

Chapter 2 The Return on Investments in Analytics 19
Keri E. Pearlson

Part II: Application of Analytics
Chapter 3 Leveraging Proprietary Data for Analytical Advantage 37
Thomas H. Davenport

Chapter 4 Analytics on Web Data: The Original Big Data 47
Bill Franks

Chapter 5 The Analytics of Online Engagement 71
Eric T. Peterson

Chapter 6 The Path to “Next Best Offers” for Retail Customers 83
Thomas H. Davenport, John Lucker, and Leandro DalleMule

Part III: Technologies for Analytics
Chapter 7 Applying Analytics at Production Scale 97
James Taylor

Chapter 8 Predictive Analytics in the Cloud 111
James Taylor

Chapter 9 Analytical Technology and the Business User 123
Thomas H. Davenport

Chapter 10 Linking Decisions and Analytics for Organizational Performance 135
Thomas H. Davenport

Part IV: The Human Side of Analytics
Chapter 11 Organizing Analysts 157
Robert F. Morison and Thomas H. Davenport

Chapter 12 Engaging Analytical Talent 179
Jeanne G. Harris and Elizabeth Craig

Chapter 13 Governance for Analytics 187
Stacy Blanchard and Robert F. Morison

Chapter 14 Building a Global Analytical Capability 203
Thomas H. Davenport

Part V: Case Studies in the Use of Analytics
Chapter 15 Partners HealthCare System 215
Thomas H. Davenport

Chapter 16 Analytics in the HR Function at Sears Holding Corporation 233
Carl Schleyer

Chapter 17 Commercial Analytics Culture and Relationships at Merck 241
Thomas H. Davenport

Chapter 18 Descriptive Analytics for the Supply Chain at Bernard Chaus, Inc. 249
Katherine Busey and Callie Youssi

Index 255

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