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Hype Cycle for Analytic Applications, 2008
3 July 2008
 
Gareth Herschel   Thomas Otter   James Holincheck   Deborah R Wilson   Michael Dunne   Andrew Frank   Marc Halpern   Hung LeHong   Joanne Galimi   Richard J. De Lotto   Bill Gassman   Nigel Rayner   Kimberly Collins   Jim Davies   Stessa B Cohen   Kimberly Harris-Ferrante   David McClure   Adam Sarner   C. Dwight Klappich   Andrew White   Tim Payne   Bradley Williams   Kristian Steenstrup   David Furlonger   Alistair Newton   Michael Maoz  

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







Price: US$1,995.00

Pages: 47








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Table of Contents



    
Analysis

    
What You Need to Know
    
The Hype Cycle

    
Four Critical Questions

    
1. Does the organization have the necessary data to support the analysis?
    
2. Does the tool match the skill set of the user?
    
3. Is the organization ready and willing to change plans as a result of this analysis?
    
4. Is everything else in place to make adoption of this technology a success?
    
Distribution of Technology Profiles
    
The Priority Matrix
    
Off The Hype Cycle
    
On the Rise

    
Video Analytics
    
Marketing Mix and Product Portfolio Optimization
    
Claims Analytics
    
Sales Performance Management
    
Financial Services Relationship Pricing Tools
    
Supplier Performance Management
    
Emotion Detection
    
Advanced Fraud Detection and Analysis Technologies
    
Interaction Analytics
    
Asset Investment Planning Tools
    
At the Peak

    
Campaign Optimization
    
Care Management Analytics
    
Sales Analytics
    
Audio Mining/Speech Analytics
    
Electronic Payment Fraud Management Applications
    
Intelligent Decision Management for Best Next Action
    
Operational Retail Dashboards
    
Text Mining
    
Field Service Workforce Optimization
    
Sliding Into the Trough

    
Contact Center Performance Management
    
Product Analytics
    
Predictive Modeling: Underwriting
    
Customer Profitability Analysis
    
Profitability Modeling and Optimization
    
Unified Price, Promotion and Markdown Optimization
    
Product Portfolio Management
    
Advanced Analytics for Government
    
Social Network Analysis
    
Footfall Analysis
    
Workforce Analytics
    
Climbing the Slope

    
Procurement Spending Analysis
    
Fraud Detection Software
    
Supply Chain Analytics
    
Behavioral Targeting
    
Predictive Modeling: Care Management
    
Web Analytics
    
Entering the Plateau

    
Sales Reporting
    
Anti-Money-Laundering
    
Appendixes

    
Hype Cycle Phases, Benefit Ratings and Maturity Levels

    
Recommended Reading


List of Tables



Table 1.  
Hype Cycle Phases
 

Table 2.  
Benefit Ratings
 

Table 3.  
Maturity Levels
 

List of Figures



Figure 1. 
Hype Cycle for Analytic Applications, 2008
 

Figure 2. 
Priority Matrix for Analytic Applications, 2008
 



Document History:
 
Hype Cycle for Analytic Applications, 2009
24 August 2009
  
Hype Cycle for Analytic Applications, 2008
3 July 2008
  





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© 2008 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner's research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.




Resource Id: 713217