powerbi-ai-data-quality-business-impact

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

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.