Powerbi AI Data Quality Business Impact

Use when data quality issues must be translated into business impact on KPIs, reports, process decisions, certification readiness, and operational actions.

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Power BI AI Data Quality to Business Impact

Use this skill to make data quality actionable.

Impact Areas

  • Missing keys, duplicate master data, invalid dates, orphan facts, stale records, and wrong units.
  • KPI distortion, report trust risk, process impact, and financial exposure.
  • Affected Process Owners, Data Stewards, source systems, and remediation owners.
  • Certification blockers and retest criteria.

Output Requirements

  • Produce DQ issue, affected KPIs, estimated impact, owner, remediation, and retest plan.
  • Distinguish measured impact from estimated impact.

rweisssieker-xp/powerbi-codex-plugin/tree/main/plugins/powerbi-business-intelligence/skills/powerbi-ai-data-quality-business-impact commit 518750513f

Frequently asked questions

npx skillmds@latest add rweisssieker-xp/powerbi-ai-data-quality-business-impact