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Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data(FT Press Analytics)

Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data(FT Press Analytics)

          
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About the Book

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.

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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Product Details
  • ISBN-13: 9780133039450
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson FT Press
  • Language: English
  • Series Title: FT Press Analytics
  • Weight: 1 gr
  • ISBN-10: 0133039455
  • Publisher Date: 04 Sep 2012
  • Binding: Digital download
  • No of Pages: 304
  • Sub Title: Optimize Performance, Process, and Decisions Through Big Data


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