Understanding Analytics

The reports

• Risk analytics: your top-N risk list ranked by criticality times failure-likelihood times cost-of-failure. Each row drills into the asset.
• Predictive work: assets whose failure patterns suggest attention soon, from a model watching asset age, PM history, and corrective work orders. Treat predictions as priorities, not certainties.
• Executive reports: pre-built monthly and quarterly summaries of uptime, cost per asset, PM compliance, and top failures, exportable as PDF.
• Capital planner: multi-year replacement scenarios. Read the assumptions panel first, since replacement-cost defaults can be off with sparse records.
• Dependency graph: a map of how assets depend on each other. Digital twin: an optional 3D facility view behind the digital_twin_3d feature.

Metrics that matter

Watch four weekly: MTBF (mean time between failures) trending up means improving reliability; MTTR (mean time to repair) trending down means a tighter team; PM compliance at 90 percent or higher is healthy; rising backlog age is the earliest sign of a capacity issue.

Trust, comparisons, and exports

Suspect numbers when work orders lack assets, time is batch-logged, or work closes without notes; fix the data upstream, then re-trust a month later. Every report compares versus last period, versus benchmark, and versus other facilities, and exports as PDF, CSV, or scheduled delivery. Look at outliers, not averages.