Gartner Research

Hype Cycle for Business Intelligence and Analytics, 2013

Published: 31 July 2013

ID: G00252553

Analyst(s): Kurt Schlegel

Summary

This Hype Cycle will help business intelligence and analytics leaders prioritize their investments in the emerging technologies that will make their BI and analytics initiatives more precise, transparent and decisive.

Table Of Contents

Analysis

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off The Hype Cycle
  • On the Rise
    • Operational Intelligence Platforms
    • Quantified Self
    • Collaborative Decision Making
    • Graph Databases
    • Prescriptive Analytics
    • Data Science
    • Search-Based Data Discovery Tools
  • At the Peak
    • Information Capabilities Framework
    • Information Semantic Services
    • Intelligent Business Operations
    • Logical Data Warehouse
    • Big Data
    • Enterprise Metadata Management
    • Complex-Event Processing
    • In-Memory Database Management Systems
  • Sliding Into the Trough
    • Model Managers
    • Mobile BI
    • Business Analytics SaaS/PaaS
    • Entity Resolution and Analysis
    • Text Analytics
    • In-Memory Analytics
    • Real-Time Decisioning Platform
  • Climbing the Slope
    • Interactive Visualization
  • Entering the Plateau
    • Column-Store DBMS
    • Predictive Analytics
    • Dashboards
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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