Data Quality Dashboards
Data quality dashboards provide comprehensive quality assessment visualizations for your selected data assets. These dashboards use templates to display critical quality metrics and insights.
Use data quality dashboards to group and monitor catalog items most relevant to your business needs. Typically, these are the catalog items presented in BI reports, compliance reports, or those used for decision-making.
Key features
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Pre-configured dashboards with essential quality visualizations.
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Customizable report generation based on selected catalog item DQ monitors.
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Visual representation of quality trends and problem areas.
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Detailed views of passed and failed records.
Create a data quality dashboard
To create a dashboard, select the catalog items that you want to include:
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From the left navigation menu, select Data Quality > Dashboards.
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On the Dashboards screen, select Create.
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In the Create a new data quality dashboard dialog:
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Select the catalog items (1) and specific DQ monitors (2) you want to include in your dashboard.
You can filter the catalog items by name, the data source they come from, and more.
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Select Next.
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Enter a Name and Description for the dashboard, then select Create.
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The dashboard is created and available under Data Quality > Dashboards.
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Publish the dashboard.
Add and remove catalog items
Add and remove catalog item DQ monitors using the Configuration tab.
To add additional catalog items:
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Select Select.
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Select the catalog items (1) and specific DQ monitors (2) you want to include in your dashboard.
To remove catalog item DQ monitors, use the checkboxes and select Delete.
When you’re done, publish your changes.
View DQ evaluation results
Data quality dashboards show the latest results of DQ evaluation.
When does DQ evaluation run?
For each catalog item in the dashboard, DQ evaluation runs automatically at times specified in its DQ monitor schedule (if set up).
Additionally, you can run ad hoc DQ evaluation:
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For all catalog items included in the dashboard by selecting Run from the dashboard.
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For specific catalog items by selecting Run DQ Evaluation from the dashboard Configuration tab, or from the catalog item itself.
| DQ evaluation can be started from multiple locations. Regardless of the starting point, the results are synchronized and automatically updated in the data quality dashboard, as well as in the data quality dashboard found on the catalog item Data Quality > Dashboards tab, ensuring a single source of truth. |
Filter by catalog item or DQ monitor
Use the Catalog items and DQ Monitors filters in the dashboard header to focus on specific data.
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Catalog items: Select from catalog items included in the dashboard.
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DQ Monitors: Select from DQ monitors associated with the catalog items. For more information about DQ monitors, see DQ Monitors.
Filter by reference date
Use the Results until filter to view data quality results up to a specific date. This is useful when you want to see a historical snapshot of your data quality metrics rather than the current state.
To filter by reference date:
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In the dashboard header, select the Results until dropdown.
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Select a date from the calendar.
The dashboard updates to show results up to and including the selected date.
| The reference date filter and date range picker work together. The date range is calculated from the Results until date, not the current date. For example, if Results until is set to January 7 and you select 7 days on a chart, you see the 7 days leading up to January 7, not the last 7 days from today. |
Filter by date range
Line charts and multiseries line charts can include a date range picker that lets you select how much historical data to display. Available options include All time, 7 days, 14 days, 30 days, Last month, Last 90 days, and Last year.
| The date range picker is only available if it has been enabled in the visualization settings. If you don’t see this option on a chart, contact your administrator or see Line Chart and Line Multiseries Chart to learn how to enable it. |
Data quality dashboard template
Data quality dashboards use a template to define their layout and visualizations. One dashboard is designated as the data quality dashboard template, and its layout is applied to all data quality dashboards.
By default, Agentic includes a pre-configured data quality dashboard template. You can customize this template or designate a different dashboard as the template.
Templates are managed in Global settings > DQ settings > DQ dashboard templates. For more information about the default template contents and how to manage templates, see data-quality:dq-dashboard-templates.adoc.
Troubleshooting
Common issues
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No data displayed: Verify that the selected catalog items have completed DQ evaluations.
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Incomplete dashboards: Check if all selected catalog items are accessible to your user account.
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Unexpected rule configuration: Make sure you selected the correct DQ monitor when adding catalog items. Use the dropdown to select a different monitor than the default.
Once you have verified the correct catalog item and monitor are selected, make sure the selected DQ monitor is set up as you want it. See DQ Monitors for more information.
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Date range picker not visible: The date range picker on charts must be enabled in the visualization settings. See Line Chart and Line Multiseries Chart for more information.
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