Gartner Research

Hype Cycle for Advanced Analytics and Data Science, 2015

Published: 06 July 2015

ID: G00277762

Analyst(s): Alexander Linden

Summary

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

Analysis

  • 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

Gartner Recommended Reading

©2019 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Become a client