Data-Driven Maintenance Using Excel and CMMS Data
Published 4/2026
Created by Tim Chui
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 11 Lectures ( 3h 5m ) | Size: 4.37 GB
Analyzing your maintenance and CMMS Work Order Data Using Excel
What you'll learn
✓ Learn how to turn raw maintenance and CMMS data into meaningful insights
✓ Learn some key maintenance matrices or KPI
✓ Learn how to use Excel Pivot Table to transform your maintenance data
✓ Learn to build your own maintenance performance dashboards
✓ You will be able to make smarter, data-backed maintenance decisions
Requirements
● Some knowledge in maintenance management system and some basics in Microsoft Excel
Description
Many maintenance teams today collect large amounts of data-whether through manual logs, Excel spreadsheets, or Computerized Maintenance Management Systems (CMMS). However, this data is often underutilized. Standard CMMS reports may not provide the specific insights needed, leaving maintenance personnel unable to fully analyze equipment performance, downtime trends, or failure patterns.
This course, Data-Driven Maintenance Using Excel and CMMS Data, is designed to bridge that gap. It equips participants with practical skills to transform raw maintenance data into meaningful insights using Microsoft Excel, especially Pivot Tables. Instead of relying solely on predefined CMMS reports, learners will gain the ability to customize their own analysis based on operational needs. This will maximize the use of your data to enhance decision making and performance management in your maintenance management system.
By the end of the course, participants will be able to organize and clean CMMS data, analyze equipment downtime, calculate key performance indicators such as MTBF (Mean Time Between Failure) and MTTR (Mean Time to Repair), and perform failure mode analysis. They will also learn how to build simple, management-friendly dashboards to support data-driven decision-making.
The course emphasizes hands-on learning with real-world datasets, enabling participants to apply techniques immediately in their workplace and improve maintenance performance effectively.
Who this course is for
■ Maintenance professionals who want to maximize their maintenance data
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