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Hype Cycle for Analytic Applications, 2009
24 August 2009
 
Gareth Herschel   Jim Davies   Michael Maoz   Andrew Frank   Adam Sarner   Hung LeHong   Thomas Otter   Deborah R Wilson   Bill Gassman   Joanne Galimi   Gale Daikoku   Miriam Burt   Richard J. De Lotto   Marc Halpern   Stessa B Cohen   Tim Payne   Charlotte Patrick   Mark A. Beyer   Daniel Sholler   Nigel Rayner   Thilo Koslowski   Andrew White   C. Dwight Klappich   Rita E. Knox   Christian Hestermann   Kimberly Harris-Ferrante   Kristian Steenstrup   Carol Rozwell  

Analytical capability is increasingly packaged as a solution to address specific business issues, rather than created with generic business intelligence tools. Gartner's Hype Cycle for Analytic Applications shows the maturity, adoption rates and benefits of various analytical applications.





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Table of Contents

Contents
  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • Key Changes from 2008 to 2009
    • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • Video Analytics
      • Supply Base Management
      • Marketing Mix and Product Portfolio Optimization
      • Product Portfolio Optimization
      • Claims Analytics
      • Embedded Analytics
      • Emotion Detection
      • Interaction Analytics
      • Real-Time Customer Offer Engines
      • On-Screen Personalized Offers
      • Entity Resolution and Analysis
    • At the Peak
      • Asset Investment Planning Tools
      • Campaign Optimization
      • Customer Traffic Management
      • Store Replenishment Optimization
      • Care Management Analytics
      • Audio Mining/Speech Analytics
      • Content Analytics
      • Inventory Strategy Optimization
      • Predictive Campaign Analytics
      • Real-Time Decisioning
    • Sliding Into the Trough
      • Text Analytics
      • Field Service Workforce Optimization
      • Product Analytics
      • Predictive Modeling: Underwriting
      • Customer Profitability Management
      • Merchandise and Category Optimization
      • Spending Analysis
      • Media Engagement Metrics
      • Social Network Analysis
      • Social Media Monitors
    • Climbing the Slope
      • Footfall Analysis
      • Profitability Modeling and Optimization
      • Unified Price, Promotion and Markdown Optimization
      • Workforce Analytics
      • Sales and Operations Planning
      • Supply Chain Analytics
      • Behavioral Targeting
      • Predictive Modeling: Care Management
      • Web Analytics
    • Entering the Plateau
      • Anti-Money-Laundering
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Recommended Reading
Tables
Table 1.
Hype Cycle Phases
Table 2.
Benefit Ratings
Table 3.
Maturity Levels
Figures
Figure 1.
Hype Cycle for Analytic Applications, 2009
Figure 2.
Priority Matrix for Analytic Applications, 2009
Figure 3.
Hype Cycle for Analytic Applications, 2008




Document History:
 
Hype Cycle for Analytic Applications, 2011
30 August 2011
  
Hype Cycle for Analytic Applications, 2010
8 October 2010
  
Hype Cycle for Analytic Applications, 2009
24 August 2009
  
Hype Cycle for Analytic Applications, 2008
3 July 2008
  




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Resource Id: 1145312