Gartner Research

Add Event Stream Processing to Your Business Analytics Repertoire

Published: 10 November 2015

ID: G00291867

Analyst(s): W. Roy Schulte

Summary

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
  • Key Challenges

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

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