Data Growth Demands a Single, Architected IT Operations Analytics Platform

Archived Published: 30 September 2013 ID: G00247883


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With growth in the volume and variety of data needed to monitor and manage complex IT systems, IT leaders have had to acquire new technologies to manage this data. This will require that a single, architected platform be procured to improve root-cause analysis and short-term predictive analysis.

Table of Contents

  • Introduction
  • Analysis
    • Combine polystructured text search and text-based inference and statistical pattern discovery analytical algorithm types in a single platform
    • ITOA Platforms Must Be Implemented on Two Levels
      • ITOA Platforms Will Be Self-Contained
      • ITOA Platforms Will Be Built to Handle at Least Five Distinct Types of Data
      • ITOA Platforms Will Function on at Least Two Levels
      • ITOA Platforms Will Apply Analytics Across Four Temporal Moments
      • ITOA Platforms Will Operate Each Module in Three Modes
  • Gartner Recommended Reading
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