Gartner Research

Using Advanced Analytics to Predict Equipment Failure

Published: 29 May 2015

ID: G00277151

Analyst(s): Leif Eriksen, Kristian Steenstrup

Summary

A growing number of organizations in asset-intensive industries are investing in advanced analytics to help them predict the failure of mission-critical equipment or assets. We explore best practices for improving the effectiveness and efficiency of these predictive asset management initiatives.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Work With the Business to Develop a Strategy for Collecting and Managing the OT Data Necessary to Support Predictive Asset Management Projects
  • Invest in Data Science and Analytics Skills to Better Support Both Existing and Future Predictive Asset Management Projects
  • Develop a Strategy for Proactively Identifying and Supporting Predictive Asset Management Opportunities as Well as Existing Projects Started by the Business

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