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• Title:Enterprise analytics : optimize performance, process, and decisions through big data / [edited by] Thomas H. Davenport.
  
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• Other Contributors/Collections:Davenport, Thomas H., 1954-
  
• Published/Created:Upper Saddle River, N.J. : FT Press, ©2013.
  

• Holdings

  Holdings Record Display

  • Location:DAVID LAM LIBRARY stacksWhere is this?
    
  • Call Number: HD38.7 .E557 2013
    
  • Number of Items:1
    
  • Status:Available
    

   
• Library of Congress Subjects:Business intelligence.
  Decision making.
  Management.
  
• Description:xvii, 268 p. : ill. ; 24 cm
  
• Notes:Includes bibliographical references and index.
  
• ISBN:9780133039436 (hardcover : alk. paper)
  0133039439 (hardcover : alk. paper)
  
• Contents:Machine generated contents note: pt. I Overview of Analytics and Their Value
  ch. 1 What Do We Talk About When We Talk About Analytics?
  Why We Needed a New Term: Issues with Traditional Business Intelligence
  Three Types of Analytics
  Where Does Data Mining Fit In?
  Business Analytics Versus Other Types
  Web Analytics
  Big-Data Analytics
  Conclusion
  ch. 2 Return on Investments in Analytics
  Traditional ROI Analysis
  Teradata Method for Evaluating Analytics Investments
  Example of Calculating the Value
  Analytics ROI at Freescale Semiconductor
  pt. II Application of Analytics
  ch. 3 Leveraging Proprietary Data for Analytical Advantage
  Issues with Managing Proprietary Data and Analytics
  Lessons Learned from Payments Data
  Endnote
  ch. 4 Analytics on Web Data: The Original Big Data
  Web Data Overview
  What Web Data Reveals
  Web Data in Action
  Wrap-Up
  ch. 5 Analytics of Online Engagement
  Definition of Engagement
  Model to Measure Online Engagement
  Value of Engagement Scores
  Engagement Analytics at PBS
  Engagement Analytics at Philly.com
  ch. 6 Path to "Next Best Offers" for Retail Customers
  Analytics and the Path to Effective
  Next Best Offers
  Offer Strategy Design
  Know Your Customer
  Know Your Offers
  Know the Purchase Context
  Analytics and Execution: Deciding on and Making the Offer
  Learning from and Adapting NBOs
  pt. III Technologies for Analytics
  ch. 7 Applying Analytics at Production Scale
  Decisions Involve Action
  Time to Business Impact
  Business Decisions in Operation
  Compliance Issues
  Data Considerations
  Example of Analytics at Production Scale: You See
  Lessons Learned from Other Successful Companies
  Endnote
  ch. 8 Predictive Analytics in the Cloud
  Business Solutions Focus
  Five Key Opportunities
  State of the Market
  Pros and Cons
  Adopting Cloud-Based Predictive Analytics
  Endnote
  ch. 9 Analytical Technology and the Business User
  Separate but Unequal
  Staged Data
  Multipurpose
  Generally Complex
  Premises- and Product-Based
  Industry-Generic
  Exclusively Quantitative
  Business Unit-Driven
  Specialized Vendors
  Problems with the Current Model
  Changes Emerging in Analytical Technology
  Creating the Analytical Apps of the Future
  Summary
  ch. 10 Linking Decisions and Analytics for Organizational Performance
  Study of Decisions and Analytics
  Linking Decisions and Analytics
  Process for Connecting Decisions and Information
  Looking Ahead in Decision Management
  Endnotes
  pt. IV Human Side of Analytics
  ch. 11 Organizing Analysts
  Why Organization Matters
  General Goals of Organizational Structure
  Goals of a Particular Analytics Organization
  Basic Models for Organizing Analysts
  Coordination Approaches
  What Model Fits Your Business?
  How Bold Can You Be?
  Triangulating on Your Model and Coordination Mechanisms
  Analytical Leadership and the Chief Analytics Officer
  To Where Should Analytical Functions Report?
  Building an Analytical Ecosystem
  Developing the Analytical Organization Over Time
  Bottom Line
  Endnotes
  ch. 12 Engaging Analytical Talent
  Four Breeds of Analytical Talent
  Engaging Analysts
  Arm Analysts with Critical Information About the Business
  Define Roles and Expectations
  Feed Analysts' Love of New Techniques, Tools, and Technologies
  Employ More Centralized Analytical Organization Structures
  ch. 13 Governance for Analytics
  Guiding Principles
  Elements of Governance
  You Know You're Succeeding When
  ch. 14 Building a Global Analytical Capability
  Widespread Geographic Variation
  Central Coordination, Centralized Organization
  Strong Center of Excellence
  Coordinated "Division of Labor" Approach
  Other Global Analytics Trends
  Endnotes
  pt. V Case Studies in the Use of Analytics
  ch. 15 Partners Health Care System
  Centralized Data and Systems at Partners
  Managing Clinical Informatics and Knowledge at Partners
  High-Performance Medicine at Partners
  New Analytical Challenges for Partners
  Centralized Business Analytics at Partners
  Hospital-Specific Analytical Activities: Massachusetts General Hospital
  Hospital-Specific Analytical Activities: Brigham & Women's Hospital
  Endnotes
  ch. 16 Analytics in the HR Function at Sears Holdings Corporation
  What We Do
  Who Make Good HR Analysts
  Our Recipe for Maximum Value
  Key Lessons Learned
  ch. 17 Commercial Analytics Culture and Relationships at Merck
  Decision-Maker Partnerships
  Reasons for the Group's Success
  Embedding Analyses into Tools
  Future Directions for Commercial Analytics and Decision Sciences
  ch. 18 Descriptive Analytics for the Supply Chain at Bernard Chaus, Inc
  Need for Supply Chain Visibility
  Analytics Strengthened Alignment Between Chaus's IT and Business Units.