How Analytics Works and How to Use It

What analytics does

Analytics helps your team move beyond individual tickets to see operating patterns: where work is concentrating, what is aging, how quickly work is completed, and which assets or facilities consume the most attention. It draws meaning from work orders, assets, facilities, PM schedules, alerts, risk signals, and time ranges. It is a way to inspect the operating record from a higher level, not a separate data source.

Common signals include open and overdue counts, backlog aging, MTTR, on-time completion, downtime concentration, and repeated issues by asset or facility.

Investigation workflow

1. 01Start with a business question.
2. 02Check the scope and date range.
3. 03Identify the outlier or trend.
4. 04Drill into the contributing records.
5. 05Decide the next action: work, PM, asset cleanup, vendor review, or planning.

Best practice

Analytics will reflect duplicate assets, missing links, stale work, and incomplete PMs. If a chart looks wrong, inspect the records first. Use review rhythms: daily for exceptions, weekly for backlog and throughput, monthly for trends. Analytics explains what patterns exist; predictive and scenario tools help you decide what to do next. A good review ends with a specific decision.