Understand DQ Evaluation Results
During DQ evaluation, each record is analyzed to see whether it meets the criteria of the DQ rules applied to it. The records that meet the criteria are counted as passed (valid), and records that do not are failed (invalid).
Continue reading to learn what DQ evaluation results are available.
To learn how to use these results to identify and investigate data issues, see Investigate DQ Issues.
Where can I find DQ evaluation results?
Full DQ evaluation results for each catalog item are displayed in the monitor Detailed results tab. To view results from previous DQ evaluations, use the Results from dropdown at the top of the page.
For the catalog items monitored using DQ dashboards, selected results are displayed on the DQ dashboard.
DQ results overview
The overview shows DQ evaluation results on the catalog item level:
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(1) Overall data quality: The percentage of records that passed all applied DQ rules.
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(2) Record summary: Number of passed and failed records.
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(3) Graph of data quality over time. Click on the graph to adjust the time range.
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(4) Dimension filters: Select a specific data quality dimension to filter all results on the overview by that dimension.
Detailed results
Detailed results tab shows (1) list of rule instances (a rule applied to a specific attribute) and the (2) data quality result for each of them.
For each rule instance, you can see:
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(3) Number and percentage of passed and failed records.
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(4) Explanations of why the record passed or failed the rule.
You can adjust how the results are displayed:
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(5) Group the list by rules or attributes.
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(6) Expand all results.
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(7) Filter the results.
To view details about the DQ rule, select the result row to open a sidebar with details about the rule:
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Data Quality: DQ evaluation results for the rule instance.
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Configuration: Rule instance settings, including rule instance name and input configuration.
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Implementation: Rule logic, including the reasoning behind the explanations.
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