KPI Systems & CMMS Data
Measure what changes decisions.
Maintenance KPI frameworks, CMMS master data structures and Power BI dashboards that management actually uses.
Request AssessmentWhat we typically find
- Reports produced monthly that nobody acts on.
- CMMS data too inconsistent to calculate MTBF or PM compliance reliably.
- Every department quoting a different availability figure.
What the engagement covers
- KPI framework definition with agreed calculation rules
- CMMS master data model, taxonomy and failure coding (ISO 14224 aligned)
- Work order lifecycle and data quality rules
- Power BI dashboard build and automated refresh
- Governance: who reviews which metric and when
How we deliver it
Define
Agree a small set of KPIs tied to real decisions, each with one written formula.
Structure
Design asset taxonomy and failure coding so the data supports the KPI.
Clean
Assess existing data quality and specify the remediation needed.
Build
Develop dashboards with drill-down from site level to individual asset.
Embed
Set the review cadence and the action expected from each metric.
Deliverables
- KPI definition handbook with calculation rules
- CMMS taxonomy and failure code library
- Data quality assessment and remediation plan
- Power BI dashboard set with refresh pipeline
Outcomes
- One agreed number per metric across the organisation
- Reliability trends visible early enough to intervene
- CMMS data good enough to support engineering analysis
Every recommendation is traceable to a recognised standard.
Discuss kpi systems & cmms data
A 30-minute call is usually enough to tell whether this is the right starting point for your plant.
Related services
Criticality analysis, FMEA, RCM and reliability modelling that target the failures actually costing you production.
PM optimization, task rationalisation and spare parts strategy that cut wasted maintenance hours without adding risk.
Structured, evidence-led investigation of major failures — from physical mechanism to latent management cause.