Gartner Research

Causal Analysis Makes Availability and Performance Data Actionable

Published: 07 October 2015

ID: G00273922

Analyst(s): Will Cappelli


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
  • Key Challenges



  • 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

©2022 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Purchase this Document

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

Become a client

Learn how to access this content as a Gartner client.