Gartner Research

Hype Cycle for Business Intelligence and Analytics, 2014

Published: 31 July 2014

Summary

This Hype Cycle helps IT leaders modernize their business intelligence and analytics programs by prioritizing emerging technology investments.

Included in Full Research

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Context Brokers
    • Personal Analytics
    • Operational Intelligence Platforms
    • Quantified Self
    • Data Lakes
    • Hadoop-Based Data Discovery
    • Collaborative Decision Making
    • Smart Pattern Discovery
    • Graph Analysis
    • Open Data
    • Search-Based Data Discovery Tools
    • Prescriptive Analytics
  • At the Peak
    • Business Analytics PaaS (baPaaS)
    • Business User Data Mashup and Modeling
    • Decision Management
    • Geospatial and Location Intelligence
    • Predictive Analytics
    • Governed Data Discovery
    • Logical Data Warehouse
    • Natural-Language Question Answering
    • R
    • Complex-Event Processing
  • Sliding Into the Trough
    • Big Data
    • Business Analytics Services
    • Mobile BI
    • Text Analytics
  • Climbing the Slope
    • In-Memory Analytics
    • Interactive Visualization
  • Entering the Plateau
    • Dashboards
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

Analysts:

Kurt Schlegel

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