Gartner Research

China Summary Translation: 'Hype Cycle for Analytics and Business Intelligence, 2018'

Published: 07 January 2019

ID: G00374218

Analyst(s): Jim Hare , Melody Chien


This Hype Cycle will help data and analytics leaders modernize their analytics and BI programs. Three key trends include the transition from visual data discovery to augmented analytics, the growing importance of analytics governance, and the scaling and operationalization of analytics initiatives.

Table Of Contents


  • 企业需要知道什么
  • 技术成熟度曲线

Hype Cycle for Analytics and Business Intelligence, 2018


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Immersive Analytics
    • Artificial General Intelligence
    • Conversational Chatbots for Analytics
    • Data Storytelling
    • Continuous Intelligence
    • Natural-Language Generation
    • BI Search/Natural Language Query
    • Embedded Analytics
    • IoT Edge Analytics
  • At the Peak
    • Augmented Analytics
    • Decision Management
    • Digital Ethics
    • Graph Analytics
    • Prescriptive Analytics
    • Analytics Governance
    • Data Catalog
    • Geospatial and Location Intelligence
    • Open Data
    • Servware
    • Real-Time Analytics
    • Event Stream Processing
  • Sliding Into the Trough
    • Data Preparation
    • Data Lakes
    • Predictive Analytics
    • Cloud ABI
    • In-DBMS Analytics
    • Logical Data Warehouse
    • Mobile App Analytics
  • Climbing the Slope
    • Data and Analytics Services
    • Social Analytics
    • Text Analytics
  • Entering the Plateau
    • Mobile BI
    • Visual Data Discovery
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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