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Enterprise analytics : optimize performance, process, and decisions through big data / [edited by] Thomas H. Davenport
Alternate Title Optimize performance, process, and decisions through big data
Upper Saddle River, N.J. : FT Press, c2013
book jacket
Location Call Number Status
 3rd Floor  HD38.7 .E557 2013    AVAILABLE
Subject(s) Business intelligence
Decision making
Management
Big data
Physical Description xvii, 268 p. ; ill. ; 23 cm
Note Includes bibliographical references and index
Contents pt. I. Overview of analytics and their value. What do we talk about when we talk about analytics? -- The return on investments in analytics -- pt. II. Application of analytics. Leveraging proprietary data for analytical advantage -- Analytics on web data: the original big data -- The analytics of online engagement -- The path to "next best offers" for retail customers -- pt. III. Technologies for analytics. Applying analytics at production scale -- Predictive analytics in the cloud -- Analytical technology and the business user -- Linking decisions and analytics for organizational performance -- pt. IV. The human side of analytics. Organizing analysts -- Engaging analytical talent -- Governance for analytics -- Building a global analytical capability -- pt. V. Case studies in the use of analytics. Partners HealthCare System -- Analytics in the HR function at Sears Holdings Corporation -- Commercial analytics culture and relationships at Merck -- Descriptive analytics for the supply chain at Bernard Chaus, Inc
Summary As businesses recognize the immense potential of analytics, they are increasingly treating it as an enterprise resource and an enterprise priority. Now, the world's leading researchers on large-scale analytics have brought together today's best practices for planning, implementing, managing, and succeeding with analytics on an enterprise level. Drawing on their pioneering work at the International Institute for Analytics, the authors illuminate the entire analytics lifecycle, addressing technology, applications, operations, governance, strategy, and more. They offer actionable solutions for leveraging proprietary data, gaining a new 360-degree view of the customer, measuring engagement in actionable ways, optimizing next best offers, applying analytics at production scale, using cloud resources, and linking analytics directly to business performance. Then, in a full section on the crucial human side of analytics, they address everything from building and governing analytics organizations to integrating analytics throughout global businesses. Whether you're an analyst, manager, strategist, executive, or technology vendor, this book will help you implement large-scale analytics faster, avoid crucial missteps, and capture far more value
Alternate Author Davenport, Thomas H., 1954-

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