Setting up a regular DQ digest#

This guide explains how to set up and manage a regular DQ digest to receive periodic summaries of your Data Quality issues instead of individual notifications for every event.

Introduction#

What is a regular DQ digest?

A regular DQ digest is a notification subscription that summarizes all unacknowledged Data Quality issues over a selected period. It reduces notification fatigue by consolidating updates into a single message.

How does a regular DQ digest work?

Adverity sends a digest of unacknowledged Data Quality issues at the cadence you choose:

  • Daily: Includes issues from the previous day (00:00 to 23:59 UTC).

  • Weekly: Includes issues from the previous week (Monday 00:00 to Sunday 23:59 UTC).

Each digest shows total errors and warnings, lists datastreams with issues grouped by data source and workspace, and links to detailed issue information in Adverity.

You can receive only the digest or keep individual notifications alongside it.

Setting up a regular DQ digest#

Prerequisites#

Before you complete the procedure in this guide, perform the following actions, if required:

Slack notifications
  • Set up a Slack workflow that starts with a Webhook event.

  • When setting the workflow, enter the notification message that you want to receive manually.

For more information, see the Slack documentation.

Microsoft Teams notifications

Procedure#

To set up a regular DQ digest, follow these steps:

  1. Go to the Administration page.

  2. In the secondary menu, in the Notifications section, choose the type of notification you want to set up: Email, Slack, or Microsoft Teams.

  3. In the top right corner, click + Create subscription.

  4. In the User field, select the user who should receive the notifications.

  5. Enter the required information for the user. The information you need to provide here depends on the notification type:

    • For email notifications, in the Email field, enter the user’s email address.

    • For Slack or Microsoft Teams notifications, in the Webhook URL field, enter the webhook URL. To test the webhook URL, click Open next to this field.

  6. (Optional) For Slack notifications, in the Channel field, select the Slack channel where you want to receive the notifications. If you leave this field empty, Adverity sends the notifications to the default Slack channel.

  7. In the Topics field, select Data Quality issues.

  8. Select the Enabled checkbox to turn the notification on.

  9. Select Regular digest to enable the digest feature.

  10. Select the frequency for your digest:

    • Daily - Select this option to receive a digest once per day. Then, select the time of day (UTC) when you want to receive the digest.

    • Weekly - Select this option to receive a digest once per week. Then, select the time of day (UTC) on Monday when you want to receive the digest.

  11. (Optional) If you want to continue receiving individual notifications in addition to the digest, select Individual notifications. If you only want the digest, leave this checkbox unselected.

  12. (Optional) Select the Exclude warnings for Data Quality or datastream and transformation issues checkbox to receive only error notifications. You will not receive notifications about warnings.

  13. In the Workspaces field, select the workspaces for which you want to receive notifications. If you leave this field empty, you will receive notifications for all workspaces that you have access to.

  14. In the Datastreams field, select the datastreams for which you want to receive notifications. You can only select datastreams that belong to the workspaces you select in the Workspaces field. If you leave this field empty, you will receive notifications for all datastreams in these workspaces.

  15. Click Save.

As a result, a regular DQ digest subscription has been created. You will receive summaries of Data Quality issues at the frequency you selected.

What the digest includes#

Each regular DQ digest includes the following information:

Time range
  • Daily digests: the previous day (00:00 to 23:59 UTC)

  • Weekly digests: the previous week (Monday 00:00 to Sunday 23:59 UTC)

Summary statistics
  • Total errors detected

  • Total warnings detected

Datastreams with issues

The digest lists datastreams that have at least one unacknowledged issue in the selected time period. The datastreams are:

  • Sorted by number of errors (highest first), then number of warnings (highest first)

  • Limited to the most critical datastreams (typically 50-100) to keep the message size manageable

  • Grouped by data source and workspace for easier navigation

Issue details

For each datastream, the digest shows:

  • Monitor types that detected the issue (for example, Duplication, Volume, Timeliness, Column Consistency, or custom monitor names)

  • Count of issues for each monitor type

  • Links to view detailed issue information in Adverity

Managing a regular DQ digest subscription#

Editing DQ digest subscription#

To edit a regular DQ digest subscription, follow these steps:

  1. Go to the Administration page.

  2. In the secondary menu, click the type of notification you want to edit: Email, Slack, or Microsoft Teams.

  3. Click the user for whom you want to edit notifications.

  4. Edit the digest settings:

    • Change the frequency (daily or weekly)

    • Change the delivery time

    • Enable or disable individual notifications

    • Modify workspace or datastream filters

  5. Click Save.

Cancelling DQ digest subscription#

To stop receiving the regular DQ digest, you can either:

  • Disable the entire notification subscription by deselecting the Enabled checkbox.

  • Disable only the digest by deselecting the Regular digest checkbox while keeping individual notifications enabled.

  • Delete the subscription entirely. For more information, see Cancelling notifications.

Note

If you were already subscribed to Data Quality issues before this feature was released, you will automatically receive a weekly digest after the feature launch. You can change or disable this subscription at any time.