Gartner Research

Hype Cycle for Business Intelligence and Performance Management, 2008

Published: 22 July 2008

ID: G00159354

Analyst(s): Bill Hostmann, Bill Gassman, Kimberly Collins , Andreas Bitterer, Andrew White , John Radcliffe, Gareth Herschel , Mark Beyer , Matthew Goldman , Michael Dunne, Rita E. Knox, James Holincheck, David Newman , Tim Payne , Jim Davies , Neil Chandler , Nigel Rayner , Deborah Wilson , Kurt Schlegel , James Richardson


This Hype Cycle includes various domain-specific performance management applications. Many business intelligence technologies have become more mature so have moved along the Hype Cycle, while new technologies such as software as a service and Web 2.0 are slowly gaining traction.

Table Of Contents


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Enterprise Metadata Taxonomy and Ontology Management
    • Information-Centric Infrastructures
    • Integrated Business Planning
    • Marketing Performance Management
    • Web 2.0 and BI
    • Sales Performance Management
    • Supplier Performance Management
    • Supply Chain and Product Performance Management
    • Closed-Loop Performance Management
    • Data Discovery Tools
    • Enterprise Information Management Programs
    • SaaS — Business Intelligence
    • BI Appliances
    • SOA-Based Analytic Applications
    • XBRL in CPM
    • Entity Resolution and Analysis
    • Open-Source Business Intelligence Tools
  • At the Peak
    • In-Memory Analytics
    • Master Data Management
    • Sales Analytics
    • Intelligent Decision Management for Best Next Action
    • Employee Performance Management
    • Text Mining
  • Sliding Into the Trough
    • Contact Center Performance Management
    • Content Analytics
    • Business Activity Monitoring
    • Interactive Visualization
    • Profitability Modeling and Optimization
    • Strategy Management
  • Climbing the Slope
    • CPM Suites
    • Procurement Spending Analysis
    • Dashboards
    • Excel as a Business Intelligence/CPM Front End
    • Data Quality Tools
    • Data-Mining Workbenches
    • Web Analytics
  • Entering the Plateau
    • Business Intelligence Platforms
    • Budgeting, Planning and Forecasting for CPM
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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