Gartner Research

China Summary Translation: 'Hype Cycle for Business Intelligence and Analytics, 2016'

Published: 26 October 2016

ID: G00317520

Analyst(s): Owen Chen , Kurt Schlegel


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

Table Of Contents


Hype Cycle for Business Intelligence and Analytics, 2016


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Situationally Adaptive Behavior
    • Embedded Analytics
    • Operational Intelligence Platforms
    • Personal Analytics
    • Natural-Language Generation
    • Smart Data Discovery
    • Graph Analytics
    • In-DBMS Analytics
    • Search-Based Data Discovery Tools
  • At the Peak
    • Real-Time Analytics
    • Semantic Virtual Data Tier
    • Open Data
    • Decision Management
    • Prescriptive Analytics
    • Geospatial and Location Intelligence
    • Event Stream Processing
    • Self-Service Data Preparation
    • Business Analytics PaaS (baPaaS)
    • Predictive Analytics
    • Hadoop-Based Data Discovery
  • Sliding Into the Trough
    • Natural-Language Question Answering
    • Logical Data Warehouse
    • Intelligent Business Operations
    • Big Data
    • Business Analytics Services
    • Social Analytics
  • Climbing the Slope
    • Mobile BI
    • Text Analytics
    • Visual Data Discovery
  • Entering the Plateau
    • R
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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