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Industrial Analytics · Free resource

Power BI Industrial KPI Dashboard Checklist

Dashboards executives trust — clean models, governed metrics, refresh SLAs, and KPIs tied to decisions — not vanity charts.

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1. Data model

Star schema (or justified alternative) with clear fact/dimension roles
Relationships tested for fan-out / double-count risk
Date table marked; fiscal calendars documented if used
Row-level security roles tested with real personas

2. Metrics that mean something

Each KPI has owner, formula, grain, and refresh latency written down
Targets / thresholds visible — green charts without goals are noise
Drill-through paths exist from KPI → transaction / site
Currency, units, and timezone labeled on every visual that needs them

3. Delivery & ops

Gateway / cloud refresh schedule meets the decision cadence
Failure alerts hit a human before the standup
Workspace roles: viewers cannot edit production reports
Mobile / export layouts checked — not only desktop canvas

4. Adoption

Pilot users trained; glossary linked from the report
Feedback channel for metric disputes
Deprecated reports archived — no shadow copies of truth
Quarterly prune: unused pages and unused datasets removed

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