Gartner Research

China Summary Translation: 'Hype Cycle for Analytics and Business Intelligence, 2019'

Published: 23 October 2019

Summary

This Hype Cycle will help data and analytics leaders modernize their analytics and BI programs. Key trends include the ongoing transition to augmented analytics, focus on building a digital culture, and the scaling and operationalization of analytics initiatives.

Included in Full Research

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Immersive Analytics
    • Analytics Catalog
    • Data Literacy
    • Conversational Chatbots for Analytics
    • Data for Good
    • Explainable AI
  • At the Peak
    • Continuous Intelligence
    • Data Storytelling
    • Edge Analytics
    • Natural Language Generation
    • Decision Management
    • Augmented Analytics
    • BI Search/Natural Language Query
    • Digital Ethics
    • Data Catalog
    • Embedded Analytics
    • Graph Analytics
    • Prescriptive Analytics
    • Servware
    • Analytics Governance
    • Event Stream Processing
  • Sliding Into the Trough
    • Data Lakes
    • Analytics and BI Platform as a Service
    • Indoor Location Intelligence
  • Climbing the Slope
    • In-DBMS Analytics
    • Predictive Analytics
    • Outdoor Location Intelligence
    • Social Analytics
    • Logical Data Warehouse
    • Text Analytics
  • Entering the Plateau
    • Data and Analytics Services
    • Visual Data Discovery
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

Analysts:

Jim Hare Twiggy Lo

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