Checks Overview

Checks express what acceptable data looks like and turn that expectation into a result Qualytics can evaluate during a Scan. Each check combines a rule with settings such as fields, filters, coverage, tags, ownership, and notifications. Together, AI Managed and Authored checks create a shared definition of trusted data.

Check Types

In Qualytics, you will come across two types of checks:

AI Managed Checks

AI Managed checks are generated, validated, and maintained from observed data behavior. Most are created during Profile operations; AI Managed Volumetric and Freshness checks can instead use Observability measurement history. These checks provide broad starting coverage, and the applicable oversight setting determines whether new checks become active automatically or remain drafts for review. They are labeled AI Managed in the UI and display a purple AI badge with a four-point star icon.

For more details on AI Managed Checks, please refer to the AI Managed Checks documentation.

Authored Checks

Authored checks are created and governed by your team through the Qualytics platform or API. Use guided rule types and reusable templates for common expectations, or SQL expressions for specialized business logic that cannot be inferred from data patterns alone.

For more details on Authored Checks, please refer to the Authored Checks documentation.

Editing Computed Assets from Checks

Qualytics allows users to edit computed tables and computed fields directly from check interfaces. This feature helps users quickly update computed logic while working on data quality checks without leaving the check context.

What You Can Do

Edit Computed Assets from a Check

From a Check Details screen, users can:

• Edit the computed table used by the check
• Edit the computed field used by the check

The edit action opens the same Edit Computed dialog available from the container page, but directly within the check context. This allows users to quickly adjust logic when a check fails or needs refinement.

Keyboard Shortcut

E: Edit Computed Asset

When focused on a computed asset within a check:

• Press E to open Edit Computed
• This opens the Edit Computed Table or Edit Computed Field dialog

Dependency Protection

Qualytics automatically protects dependencies when computed assets are edited.

When a Dependency Is Affected

If an edit to a computed table or field would impact an existing check, for example:

• Renaming or removing a field used by the check
• Modifying a query that drops a referenced column

Qualytics will display a warning message before the change is applied.

The warning clearly lists:

• Fields that will be removed
• Checks and anomalies that depend on those fields

Proceeding with the Change

If you choose Proceed Anyway:

• The affected check(s) will be deleted
• Related anomalies will also be removed
• Qualytics will automatically redirect you to the most appropriate page (for example, the container page)

This behavior ensures system consistency and prevents broken references.

Important Considerations

• There are no strict limitations on editing computed assets
• Changes may impact dependent checks
• Always review dependency warnings before proceeding
• To preserve an existing check, avoid removing or renaming fields it depends on

View & Manage Checks

Checks tab in Qualytics provides users with an interface to view and manage various checks associated with their data. These checks are accessible through two different methods, as discussed below.

Method 1: Datastore-Specific Checks

Step 1: Log in to your Qualytics account and select the datastore from the left menu.

Step 2: Click the "Checks" from the navigation tab.

You will see a list of all the checks that have been applied to the selected datastore.

You can switch between different types of checks to view them categorically (such as All, Active, Draft, and Archived).

Method 2: Explore Section

Step 1: Log in to your Qualytics account and click the Explore button on the left side panel of the interface.

Step 2: Click the "Checks" from the navigation tab.

You'll see a list of all the checks that have been applied to various tables and fields across different source datastores.

Check Templates

Check templates provide reusable starting settings for checks that express the same expectation across compatible data.

Templates are managed independently of a specific datastore, container, or field. Applying one creates a check with shared rule settings, but a data steward should still review the target fields, filters, coverage, and business context before activation.

For more details about check templates, please refer to the Check Templates documentation.

Apply Check Template for Quality Checks

Apply a check template to create a check from shared settings without starting from scratch. Confirm that the selected asset is compatible and that the resulting check represents the intended business expectation.

For more details on how to apply check templates for quality checks, please refer to the Apply Check Template for Quality Checks documentation.

Export Check Templates

Export check templates to share or reuse their settings across supported environments. After importing or applying a template, review and validate the resulting check against the target data before relying on it.

For more details about export check templates, please refer to the Export Check Templates documentation.

Manage Checks in Datastore

Within a datastore, you can create, update, clone, archive, restore, or delete checks and organize them by lifecycle state. Use Draft for work that still needs review, Active for checks available to Scan, and Archived for checks removed from active evaluation. Importance, ownership, favorites, tags, and templates help teams organize review and reuse.

For more details on how to manage checks in datastores, please refer to the Manage Checks in Datastore documentation.

Check Rule Types

In Qualytics, a variety of check rule types are provided to maintain data quality and integrity. These rules define specific criteria that data must meet, and checks apply these rules during the validation process.

For more details about check rule types, please refer to the Rule Types Overview documentation.