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Maintenance Management Analytics: KPIs, CMMS & Reliability
Analyze maintenance KPIs, CMMS data, MTBF, MTTR, OEE and reliability to improve asset performance and decisions
5.09 reviews23 learners
- All Levels
- 3h 38m video
- 36 lectures
- English
- Captions
- Updated 2026
Taught by Amir Malekniazi
- 3h 38m of on-demand video
- 36 lectures across 4 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
4 sections36 lectures3h 38m total
- Introduction2:41
- Mind Map1:08
- Who This Course Is For6:34
- What Is Maintenance Management?6:30
- Core Elements7:48
- What Is Work Management?5:48
- Work Identification8:27
- Maintenance Planning9:46
- Maintenance Scheduling1:48
- Work Assignment2:59
- Execution & Close-Out7:17
- Why Maintenance KPIs Matter6:20
- Schedule Compliance7:01
- PM Compliance5:06
- Planning Compliance2:22
- Maintenance Backlog5:44
- Emergency Work Percentage5:44
- Wrench Time3:52
- MTTR4:20
- MTBF & MTTF5:25
- Reliability7:46
- Availability4:24
- OEE7:17
- MRO Availability2:17
- Financial Maintenance KPIs5:30
- Maintenance KPI Dashboards14:04
- CMMS & ERP13:59
- From Maintenance Data to Prediction7:39
- Problem Statement1:01
- Data Collection4:22
- Data Cleaning & Preparation6:32
- Data Visualization3:55
- Data Analysis26:27
- Communicating the Results2:33
- From Data to Decision1:41
- Next Step2:27
About this course
Turn maintenance data into better maintenance decisions. Modern maintenance teams generate large amounts of data through work orders, CMMS/EAM systems, equipment history, downtime records, preventive maintenance activities, spare parts, and failure reports. But collecting data is not the same as using it effectively. A maintenance dashboard may contain dozens of KPIs and still fail to answer the most important questions: Are our assets becoming more reliable? Are we reducing reactive maintenance? Is our preve…
Before you start
- No programming or data science experience is required. All maintenance analytics concepts are explained step by step.
- Basic familiarity with maintenance, work orders, reliability, industrial operations, or Excel is helpful but not required.
Who it’s for
- Maintenance managers, engineers, supervisors, planners, and schedulers who want to improve maintenance performance using KPIs and data.
- Reliability engineers and asset management professionals who want to analyze failures, availability, MTBF, MTTR, and asset performance.
- CMMS/EAM users and administrators who want to turn work orders, failure history, downtime, and maintenance records into useful insights.
- MRO, spare parts, operations, and engineering professionals who support data-driven maintenance and reliability decisions.
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