Looking for the previous version? View v2024.06 documentation →
Reporting — Data Quality Dimensions Enhancement
Analyze quality dimensions using four new metrics: Total Records Count, Total Execution Time, Average Execution Time, and Average Percentage Exceptions.
Overview
The Data Quality Dimensions Enhancement extends the Dimensions Dashboard with four new metric types beyond the standard pass/fail count:
- Total Records Count — records processed across all scenarios in the dimension
- Total Execution Time — cumulative runtime of all scenario executions
- Average Execution Time — mean execution duration per scenario
- Average Percentage Exceptions — mean exception rate as a percentage
Prerequisites
- You are logged in to Data Trust with a Pro-User or Admin Pro-User role.
- Scenarios with dimension tags and execution history are available.
Accessing the Enhanced View
Path: Data Trust › Reporting › Data Quality Dimensions DashboardNavigate from the Data Quality Metrics Dashboard to the Dimensions Dashboard to access the enhanced dimension reporting metric options. The enhanced metric widgets are available in the Add Widgets panel of the Dimensions Dashboard and can be added to supplement the standard pass/fail view.
Total Records Count View
This view shows the total number of records processed per quality dimension, revealing which dimensions handle the highest data volumes across the platform. Dimensions with very high record counts may require more processing resources and are worth monitoring for execution time performance as data volumes grow.
Total Execution Time View
This view aggregates the cumulative runtime for all scenario executions per dimension, identifying which dimensions consume the most total processing time. A dimension with disproportionately high total execution time compared to its scenario count may indicate inefficient scenarios that could benefit from optimization.
Average Execution Time View
This view shows the mean scenario execution duration per dimension, highlighting which dimensions have scenarios that take longer than average to complete. Comparing average execution times across dimensions helps identify specific quality checks that may be causing performance bottlenecks in your reconciliation pipelines.
Average Percentage Exceptions View
This view shows the mean exception rate per dimension as a percentage of total records checked, enabling cross-dimension comparison of relative data quality health. A dimension with a consistently high average exception percentage indicates a systemic data quality gap that warrants targeted remediation efforts across the scenarios in that dimension.
Adding the New Metric Widgets
The Add Widget pop-up displays all available widget types including the four new enhanced metrics — select any widget to add it to the Dimensions Dashboard layout. You can add all four new metric widgets simultaneously, creating a comprehensive multi-metric view alongside the standard pass/fail dimension tiles.
The Dimensions Dashboard after adding the new metric widgets now presents a richer, multi-dimensional quality view with both standard counts and the new performance metrics side by side. This combined view enables data teams to correlate quality outcomes (pass/fail) with performance characteristics (execution time, exception rate) in a single consolidated dashboard.