Gartner Research

Hype Cycle for Advanced Analytics and Data Science, 2014

Published: 30 July 2014

ID: G00262076

Analyst(s): Alexander Linden

Summary

The excitement around advanced analytics is increasing, as evidenced by growing market figures, client interest, and mergers and acquisitions. This first Hype Cycle dedicated to this market describes key technologies and concepts.

Table Of Contents

Analysis

  • What You Need to Know
  • The Hype Cycle
    • A Refined Perspective on Data Science
    • A Dissection of This Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Advanced Anomaly Detection
    • Uplift Modeling
    • Spark
    • Crowdsourcing of Microwork
    • Data Lakes
    • Decisions and Recommendations as a Service
    • Hadoop-Based Data Discovery
    • Smart Pattern Discovery
    • Graph Analysis
    • Climate-Driven Forecasting
    • Optimization
    • Deep Learning
    • Machine Learning
    • Emotion Detection/Recognition
    • PMML
    • Prescriptive Analytics
  • At the Peak
    • Data Science
    • Decision Management
    • Geospatial and Location Intelligence
    • Predictive Analytics
    • Autonomous Vehicles
    • Natural-Language Question Answering
    • R
    • Complex-Event Processing
  • Sliding Into the Trough
    • Big Data
    • Model Managers
    • Audio Mining/Speech Analytics
    • Facial Recognition
    • Video Analytics
    • Ensemble Learning
    • Linked Data
    • Case-Based Reasoning
    • Prediction Markets
    • Text Analytics
  • Climbing the Slope
    • In-Memory Analytics
    • Simulation
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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