Data Quality (DQ) ensures your analytics and AI outputs are accurate, reliable, and trustworthy. Lumenn AI’s DQ module automatically detects issues such as nulls, duplicates, invalid values, schema mismatches, and anomalies, and provides clear table- and column-level scores so you can fix problems before they affect insights.
Lumenn AI evaluates core DQ dimensions, including:
- Completeness (missing/null values)
- Uniqueness (duplicate detection)
- Accuracy (valid/invalid values against rules)
- Outlier / Anomaly detection
You get both column-level and row-level drilldowns to pinpoint and remediate problems quickly.
