Add Event Stream Processing to Your Business Analytics Repertoire

Archived Published: 10 November 2015 ID: G00291867


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Event stream processing, including complex event processing, enables faster and smarter business processes. Business analytics leaders should develop staff expertise in stream processing and use it to implement sense-and-respond business applications, and to load event data into analytic databases.

Table of Contents

  • Introduction
  • Analysis
    • Use Event Stream Processing to Implement Systems That Enable Your Business to Sense and Respond to Threats and Opportunities in Near Real Time
    • Develop Staff Expertise in Event Stream Processing to Complement BI Reports, Data Discovery and Advanced Analytics
      • Event Driven
      • Decision Automation
      • Proactive Notification
      • Overlapping Time Windows
      • Incremental Computation and Process-and-Store
    • Use Event Stream Processing Platforms to Load Event Data Into Analytical Data Stores for Subsequent Use in Data Discovery and Advanced Analytics
    • Use Data Discovery and Advanced Analytics to Develop CEP Logic to Be Used in Event Stream Processing
  • Gartner Recommended Reading
© 2015 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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