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

Summary

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

Analysis

  • 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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