Gartner Research

Hype Cycle for Business Intelligence and Performance Management, 2009

Published: 27 July 2009

ID: G00169443

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


Here we cover the main components of today's business intelligence platforms and domain-specific performance management applications, plus tomorrow's emerging technologies in those markets. Overall, there hasn't been much new "hype" since the last iteration of this Hype Cycle.

Table Of Contents


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off The Hype Cycle
  • On the Rise
    • Collaborative Decision Making
    • Enterprise Metadata Taxonomy and Ontology Management
    • Supply Base Management
    • Integrated Business Planning
    • Product Portfolio Optimization
    • Marketing Performance Management
    • Closed-Loop Performance Management
    • Sales Performance Management
    • Enterprise Information Management Programs
    • Web 2.0 and BI
    • Product Performance Management
    • SOA-Based Analytic Applications
    • Information Infrastructure
    • SaaS: Business Intelligence
    • Entity Resolution and Analysis
    • Financial Reporting With XBRL
  • At the Peak
    • Price Optimization and Management for B2B
    • Data Discovery Tools
    • Master Data Management
    • Content Analytics
    • Sales Analytics
    • Open-Source Business Intelligence Tools
  • Sliding Into the Trough
    • Performance Appraisal/Assessment
    • Text Analytics
    • Contact Center Performance Management
    • In-Memory Analytics
    • Interactive Visualization
    • Strategy Management
    • Spending Analysis
    • Business Activity Monitoring
  • Climbing the Slope
    • Profitability Modeling and Optimization
    • Dashboards
    • Data-Mining Workbenches
    • Data Quality Tools
    • CPM Suites
    • Web Analytics
  • Entering the Plateau
    • Excel as a Business Intelligence/CPM Front End
    • Business Intelligence Platforms
    • Budgeting, Planning and Forecasting for CPM
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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