Gartner Research

Hype Cycle for Advanced Analytics and Data Science, 2015

Published: 06 July 2015

ID: G00277762

Analyst(s): Alexander Linden


As this year's Hype Cycle clearly indicates, the field of advanced analytics and data science is extremely innovative. Some important infrastructure concepts — including analytic marketplaces — allow the use of advanced analytics to scale much better, but much more development in this area is needed.

Table Of Contents


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Analytics Marketplaces
    • Chief Analytics Officer
    • Natural Language Generation
    • Model Factory
    • Smart Data Discovery
    • Crowdsourcing of Microwork
    • Hadoop-Based Data Discovery
    • Graph Analysis
    • In-DBMS Analytics
    • Data Lakes
    • Deep Learning
    • PMML
    • Uplift Modeling
    • Citizen Data Science
    • Real-time Analytics
    • Self-Service Data Preparation
    • Optimization
  • At the Peak
    • Emotion Detection/Recognition
    • Prescriptive Analytics
    • Event Stream Processing
    • Geospatial and Location Intelligence
    • Spark
    • Predictive Analytics
    • Machine Learning
  • Sliding Into the Trough
    • Natural-Language Question Answering
    • Model Management
    • Speech Analytics
    • Linked Data
    • R
    • Text Analytics
    • Video Analytics
  • Climbing the Slope
    • Ensemble Learning
    • Simulation
    • Load Forecasting
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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