Power BI Data Quality Observability Source Pack
Vendors and Tools
Great Expectations, Soda, Monte Carlo, Bigeye, Anomalo, dbt tests, Deequ, Informatica Data Quality, Ataccama.
Source Objects
- Expectation, test, rule, assertion, anomaly, incident, dataset, freshness, volume, schema change, owner, severity.
Power BI Patterns
- Data quality score.
- Data contract compliance.
- Incident aging.
- Quality by domain/source.
- Broken KPI risk.
Output Requirements
- Include rule definition, result, severity, affected asset, owner, SLA, evidence, and retest status.
1---2name: powerbi-data-quality-observability-source-pack3description: Use when Power BI sources include data quality, data observability, Great Expectations, Soda, Monte Carlo, Bigeye, Anomalo, dbt tests, Deequ, or quality monitoring results.4---56# Power BI Data Quality Observability Source Pack78## Vendors and Tools910Great Expectations, Soda, Monte Carlo, Bigeye, Anomalo, dbt tests, Deequ, Informatica Data Quality, Ataccama.1112## Source Objects1314- Expectation, test, rule, assertion, anomaly, incident, dataset, freshness, volume, schema change, owner, severity.1516## Power BI Patterns1718- Data quality score.19- Data contract compliance.20- Incident aging.21- Quality by domain/source.22- Broken KPI risk.2324## Output Requirements2526- Include rule definition, result, severity, affected asset, owner, SLA, evidence, and retest status.27
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