Maintenance Software

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 maintenance terms

Keep exploring connected CMMS, reliability, and maintenance planning terms.