Maintenance Analytics
Maintenance analytics is the structured analysis of maintenance, asset, condition, cost, labor, parts, and production data to improve decisions.
What this term means in maintenance
Maintenance analytics is the structured analysis of maintenance, asset, condition, cost, labor, parts, and production data to improve decisions.
Questions analytics can answer
Maintenance analytics may identify:
- Which assets fail most
- Which failures create most downtime
- Why work is delayed
- Which PM tasks find defects
- Which parts cause stockouts
- Where cost is increasing
- Which repairs repeat
- Which assets should be replaced
Practical example
Analysis shows that three pumps create 45% of seal-related downtime, leading to an alignment and piping review.
Types of analytics
Analytics may be descriptive, diagnostic, predictive, or prescriptive.
Data quality
Reliable analysis requires consistent assets, statuses, dates, failure codes, labor, parts, and downtime.
Common mistake
Advanced charts cannot correct missing or unreliable work-order data.
Related concepts
Related maintenance terms
Keep exploring connected CMMS, reliability, and maintenance planning terms.
Maintenance Data Quality
Maintenance data quality is the degree to which asset, work, inventory, cost, and reliability information is accurate, complete, consistent, timely, and usable.
Pareto Analysis
Pareto analysis ranks problems by their contribution to total loss so teams can focus on the few causes creating the greatest impact.
Asset Performance Management
Asset Performance Management, or APM, is the coordinated use of data, maintenance, reliability, condition, and risk information to improve asset outcomes.
Glossary FAQs
- What is maintenance analytics?
Analysis of asset, work, failure, downtime, cost, labor, parts, and condition data.
- What can it identify?
Bad actors, repeat failures, delay causes, ineffective PM, cost trends, and replacement candidates.
- What limits analytics quality?
Missing, inconsistent, vague, or incorrectly classified CMMS data.