Enterprise analytics : optimize performance, process, and decisions through big data

著者

書誌事項

Enterprise analytics : optimize performance, process, and decisions through big data

[edited by] Thomas H. Davenport

FT Press, c2013

大学図書館所蔵 件 / 全1件

この図書・雑誌をさがす

内容説明・目次

内容説明

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.

目次

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

「Nielsen BookData」 より

詳細情報

ページトップへ