Hype Cycle for Business Intelligence, 2011

G00216086

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Summary

This Hype Cycle highlights the main components of today's business intelligence arena, related data management technologies and emerging trends. New entries this year include information semantic services and natural language question answering.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
      • Overview
      • Technology Trigger
      • Hype Topics
    • The Priority Matrix
    • On the Rise
      • Collaborative Decision Making
      • Information Semantic Services
      • Search-Based Data Discovery Tools
      • Natural Language Question Answering
    • At the Peak
      • Enterprisewide Metadata Repositories
      • Business Intelligence SaaS
      • Visualization-Based Data Discovery Tools
      • Mobile BI
      • In-Memory Database Management Systems
    • Sliding Into the Trough
      • Real-Time Decisioning
      • Analytics
      • Content Analytics
      • Open-Source Business Intelligence Tools
      • In-Memory Analytics
      • Text Analytics
      • Interactive Visualization
    • Climbing the Slope
      • Business Intelligence Consulting and System Integration
      • Business Activity Monitoring
      • Column-Store Database Management Systems
      • Dashboards
      • Data Quality Tools
      • Predictive Analytics
      • Excel as a BI Front End
    • Entering the Plateau
      • Business Intelligence Platforms
      • Data-Mining Workbenches
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Recommended Reading
© 2011 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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