Enterprise Analytics
Optimize Performance, Process and Decisions through Big Data
(Sprache: Englisch)
The amount of data that business professionals are presented with has grown exponentially. The field of analytics gives professionals the ability to not only understand data, but see patterns in it. Rather than simply answering questions about what, how,...
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The amount of data that business professionals are presented with has grown exponentially. The field of analytics gives professionals the ability to not only understand data, but see patterns in it. Rather than simply answering questions about what, how, when, where things have happened, analytics pushes further, to find out why things are happening, what will happen if these trends continue, and how information can be used to optimize outcomes. Analytics combines tools and methods to examine what already happened, to predict what will happen, and to explore what should happen. It allows professionals to tackle large amounts of data, harness it and transfer it into information that will lead to meaningful action. The first book published by Tom Davenport and the International Institute for Analytics -- drawn from the IIA's exclusive research and writings, Enterprise Analytics delivers the most current insights on the evolution of the field, but more importantly it offers proven strategies and guidelines for the most effective implementation of data analytics and predictive analytics. Replete with examples from across industries, the book will show readers how to implement analytics in their own organization. From the supply chain to online services, in healthcare, financial services, and marketing, readers will learn how to use analytics to bring the power of data to current and future decisions and actions of the firm.
Inhaltsverzeichnis zu „Enterprise Analytics “
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
Autoren-Porträt von Thomas H. Davenport
Thomas H. Davenport is one of the world's most influential business intellectuals and a best seller author. He is the President's Distinguished Professor of Information Technology and Management at Babson College, Director of Research at Babson Executive Education, and an Accenture Fellow.
Bibliographische Angaben
- Autor: Thomas H. Davenport
- 2012, 304 Seiten, Maße: 15,7 x 23,6 cm, Leinen, Englisch
- Ed. by Thomas H. Davenport, International Institute for Analytics
- Verlag: Financial Times Prentice Hall
- ISBN-10: 0133039439
- ISBN-13: 9780133039436
- Erscheinungsdatum: 23.09.2012
Sprache:
Englisch
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