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

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

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Description

  • Copyright 2013
  • Dimensions: 6" x 9"
  • Edition: 1st
  • eBook (Watermarked)
  • ISBN-10: 0-13-303947-1
  • ISBN-13: 978-0-13-303947-4

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.

Sample Content

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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