Data Quality Last Execution Dashboard

The Data Quality Last Execution Dashboard provides insights into the total number of objects associated with different dimensions. It categorizes objects based on their data quality status, allowing data analysts to track data integrity and performance across multiple dimensions.

This report is essential for evaluating data quality across dimensions. By showcasing object validation results, it helps data teams identify issues and take corrective actions to improve data integrity. Additionally, it retrieves the most recent execution ID for each object and rule to ensure that only the latest validation results are considered.

Execute the Advanced Job for the Dashboard

1. Navigate to Administration > Advanced Jobs.

2. In the Name column, search for

   1. Build DashboardStats

   2. Enable system dashboards

   
3. Select the Advanced Job.

4. Click Run Advanced Job to trigger the job.

5. Monitor the Job Home Page for the execution status.

6. Once the job executes successfully, the reports will be generated and displayed under Data Catalog Reports.

   

Purpose

• Display the total count of attributes associated with each dimension.

• Categorize attributes based on data quality status into:

  • Passed

  • Failed

  • Execution Failed

  • Undetermined

  • Total

• Retrieve the most recent execution ID for each object and rule.

• Ensure that only the latest validation result is used.

Key Performance Indicators (KPI)