Run the Data Quality Evaluation

After choosing AI-generated rules or defining your own:

1. Click Save & Run.
2. Lumenn AI will begin executing all configured rules and analyzing the dataset.

Step 1 — Understanding Data Quality Results

Once the evaluation completes, Lumenn displays high-level Data Quality metrics for each table:

• Completeness (percentage of null values)
• Uniqueness (percentage of duplicates)
• Accuracy (percentage of incorrect or invalid values)
• Outliers (detected anomalies)

You will also see an overall DQ Score and a summary of the most affected columns.

Click View Details to dive deeper into the results.

Step 2 — Drill Down into Column-Level Insights

In the detailed view, you can explore Data Quality metrics for each column:

• Completeness %
• Uniqueness %
• Accuracy %
• Outlier %

You will also see counts for:

• Null values
• Duplicate entries
• Incorrect values
• Anomalies

This helps you identify which columns require immediate attention.

Step 3 — Inspect Row-Level and Cell-Level Issues

For precise debugging:

1. In the Column Details section, click Inspect next to any column.
2. Lumenn displays:
   • The exact rows where issues were detected
   • The incorrect or unexpected values
   • The rule or expected pattern the value should match

This is the deepest level of Data Quality investigation, allowing you to pinpoint and resolve issues at the cell level.