Causal Analysis Makes Availability and Performance Data Actionable

Archived Published: 07 October 2015 ID: G00273922


Purchase this Document

Price: $195.00 USD (PAGES: 6)

To purchase this document, you will need to register or sign in above.


There are five distinct types of causal analysis that make availability and performance data actionable. While each brings a valid perspective, change-based causal analysis — particularly when combined with Bayesian causal network analysis — holds the most promise for IT operations leaders.

Table of Contents

  • Introduction
  • Analysis
    • Add Causal Analysis to Pattern Discovery and Anomaly Detection to Make the Data Stored in ITOA Platforms Truly Actionable
      • Approach No. 1: Establish a Relationship of Topologically Grounded Causality Among the Variables Describing the System
      • Approach No. 2: Situate the Variables Describing the System in a Bayesian Causal Network
      • Approach No. 3: Establish the Relationship of Granger Causality Among Variables Describing the System Arranged in a Time Series
      • Approach No. 4: Use Pre-Existing, Distributed and Mostly Partial Knowledge of System Causality to Prune the Correlational Variable Networks
      • Approach No. 5: Establish What Changes Have Recently Been Introduced to the Environment and Try to Correlate Variable Value Fluctuations to Those Changes
    • Combine Bayesian Causal Network Analysis With Change-Focused Analysis for the Most Effective Combination of Causal Analysis Methods
  • 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.

Why Gartner

Gartner delivers the technology-related insight you need to make the right decisions, every day.

Find out more

Call +1 855-515-4486 or contact us

to become a Gartner client.