There are a few places in the Portal where you can view and browse Data Quality results.
Column
For each column with Data Quality rule instances assigned, users will see a Data Quality score on column’s overview. This score is the average percentage of all the rule instances applied to the column.
Users can also view the results in the Data Quality tab. There, you'll see a list of all the applied instances, along with details like the rule name, parameters, severity, the status of the latest run, and the timestamp when it was executed.
When you expand a row, you can see more details, including the number of tested rows, any applied filters, the number and percentage of passed and failed rows, and optionally, the instance description.
Table
Similar to columns, users will see a combined Data Quality score on the overview page. This score is the average percentage of all rule instances applied across all columns.
Users can also view the results in the Data Quality tab. There, you'll see a list of all the applied instances for all columns in the table, along with details like the rule name, parameters, severity, the status of the latest run, and the timestamp when it was executed.
When you expand a row, you’ll see more details, such as the number of tested rows, any applied filters, the number and percentage of passed and failed rows, and optionally, the instance description.
Rule instances list
The Data Quality section in the main menu provides a complete list of instances from your entire repository. Each instance includes details such as the rule name, parameters, severity, the status of the latest run, and the timestamp of its execution.
By default, instances are sorted first by the timestamp of the last run, then by severity within the same timestamp, and finally by status.
When you expand a row, you’ll see more details, such as the number of tested rows, any applied filters, the number and percentage of passed and failed rows, and optionally, the instance description.
Rule instance details
From any rule instance list, you can navigate to an instance's details page by clicking on its ID. On this page, you'll find detailed information about the instance.
If the instance hasn’t been run yet it will display a section with its basic details, including:
- The rule to be checked.
- The column selected for the check.
- State (active or draft).
- Severity.
- Filter (if applied).
- Instance description (if provided).
If the instance has been run in addition to the basic details above, you’ll see:
- The status of the last run (OK, Fail, or Error).
- A progress bar showing the number and percentage of successful and failed rows.
- The total number of tested rows.
- The fail rate.
- The timestamp of the last run.
If the status is Error, a button will let you view more details about what went wrong. This error data is raw, so if you're unsure what caused the issue, please contact our support team for help.
At the bottom of the page, you’ll find widgets displaying data trends over time, such as the instance's status history and the number of failed rows
Dashboards
We provide several dashboards to give you a better understanding of your data. Overview dashboard shows basic statistics, including: the overall Data Quality score, total number of instances defined, a breakdown of Data Quality runs by status.
Insights dashboard highlights actionable data, such as: a list of empty columns and tables, missing data in unique columns, columns where the row count has rapidly increased or decreased.
The operational dashboard displays a list of the most recent failed rows, helping you quickly identify and address data quality issues.
Instance status
There are three instance statuses:
- OK: All rows passed the rule assigned to the column.
- Fail: Some rows failed the checks and require your attention.
- Error: An issue occurred while running the Data Quality check. This could be due to a timeout, incorrect parameters, a filter issue, or a problem with the failed rows definition.
You can view error details on the instance details page. To access it:
- Go to the instances list for a column, table, or the Data Quality section in the main navigation.
- Click the instance ID,
- You will be redirected to an instance details page where error details appear next to the error status.