Gartner Research

Hype Cycle for Analytics and Business Intelligence, 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.

Published: 18 July 2019

ID: G00369713

Analyst(s): Jim Hare Kurt Schlegel

Table Of Contents

Analysis

  • 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

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