Hype Cycle for Analytics and Business Intelligence, 2017

Archived Published: 28 July 2017 ID: G00314848

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This Hype Cycle will help data and analytics leaders modernize their analytics and BI programs. The main story that emerges from it concerns the upcoming transition from visual data discovery to augmented analytics using machine learning and natural-language interfaces to augment human intelligence.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • Artificial General Intelligence
      • Conversational Analytics
      • Operational Intelligence Platforms
      • Natural-Language Generation
      • Embedded Analytics
      • IoT Edge Analytics
      • BI Search/Natural-Language Query
    • At the Peak
      • Augmented Data Discovery
      • In-DBMS Analytics
      • Graph Analytics
      • Real-Time Analytics
      • Decision Management
      • Personal Analytics
      • Servware
      • Data Catalog
      • Prescriptive Analytics
      • Geospatial and Location Intelligence
      • Mobile App Analytics
      • Self-Service Data Preparation
      • Semantic Virtual Data Tier
      • Event Stream Processing
      • Open Data
      • Predictive Analytics
    • Sliding Into the Trough
      • Business Analytics PaaS
      • Logical Data Warehouse
      • Big Data
    • Climbing the Slope
      • Business Analytics Services
      • Text Analytics
      • Social Analytics
      • Mobile BI
    • Entering the Plateau
      • Visual Data Discovery
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
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