Working with Collibra DQ Assignments

Collibra DQ allows you to assign DQ Job findings (observations) to other users to review those findings and make determinations based on whether the findings are legitimate.

Sometimes a DQ Job run results in findings that include what seem to be anomalies in the data source. For example, when analyzing a job, you might notice a job finding with outliers that are not what you were expecting. In this case, you could assign this job finding to a user to either validate, invalidate, or resolve the finding.

When an assigned user validates a job finding, it means that the results are expected and that we can confirm that it is, in fact, what the behavior model (outlier, dupe, shape, etc.) is reporting. The result is legitimate and, therefore, we want it to continue reporting as is.

If the user invalidates a finding, it means that the results are not expected and it is not what the behavior model is reporting it to be. In this case, the finding could be reporting an actual problem so that finding would need to be modified so that, when fixed, it will not be shown on the next job run.

Note Collibra recommends assigning the job finding validation to a user who has access to the source data.

You can assign job findings to internal Collibra DQ (CDQ) users or to external users with a third-party account, such as the ServiceNow tool. When you assign a user with a ServiceNow account, the assignments are sent as incidents, which can be tracked via the Service Now tool. You can select an individual or a group of users to manage the assignments for actions, such as escalations, de-escalations, and reassignments.

Action labeling options

The following action labels instruct Collibra on how to handle a finding:

Action Description
Validate

Instructs Collibra to assign a finding to a specific user for review, which then appears in the Viewing the Assignment Queue.

Note: Validating a finding does not improve your score.

For more information, go to Validating Findings.

Invalidate

Instructs Collibra to ignore a finding and allow the value to pass. There are two invalidation options:

Save: Marks a finding as invalidated but does not retrain the dataset. Use this option if you have a large number of findings that DQ has flagged, and you want to invalidate all of them at once, instead of clicking through one at a time. On your last finding, select Save and Retrain. All previously saved invalidated findings are removed and DQ retrains your dataset.
Save and Retrain: Marks a finding as invalidated and retrains your dataset. This option restores any previously deducted points from a flagged finding and reflects it in your overall data quality score. If you do not have many findings to invalidate, you can click Save and Retrain individually.

For more information, go to Invalidating Findings.

Resolve

Instructs Collibra to mark the finding as an observation and prevents it from appearing in future runs. Resolving a finding does not immediately affect data quality scores.

For more information, go to Resolving Findings.

 

Available actions by feature

Feature Available actions
Behaviors Validate, Resolve
Rules Validate, Resolve
Outliers Validate, Invalidate, Resolve
Pattern Validate, Invalidate, Resolve
Source Validate, Invalidate, Resolve
Record Validate, Resolve
Dupes Validate, Invalidate, Resolve

Warning Some findings are ineligible for all labeling options. For example, you can only apply Validate and Resolve labels to findings that result from Rules.

 

Distinguishing the type of user assigned

You can distinguish whether the user is a CDQ or ServiceNow assignment in the Profile column. Users are represented by an icon, rather than their names or usernames.

Finding assigned to ServiceNow user

Modifying a previously labeled finding

To modify a previously labeled finding, you can always access them through the Labels tab. Here you can edit an annotation or delete a label entirely. If you delete a label, it returns to the findings page, unassigned. From there you can again choose to Validate, Invalidate, or Resolve it.

To closely analyze when a finding has received a label, who has applied it, and more, see also the Dataset Audit Trail.