Gartner Research

Hype Cycle for Analytics and Business Intelligence, 2017

Published: 28 July 2017

ID: G00314848

Analyst(s): Kurt Schlegel , Jim Hare

Summary

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

©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

Learn how to access this content as a Gartner client.