Tools → Data Quality Manager

About Data Quality Manager

The Data Quality Manager capability provides a centralized framework for defining, managing, and enforcing data quality standards across the organization. It enables Data Governors to proactively ensure that data is accurate, complete, and consistent by embedding quality rules directly into the governance layer. By standardizing how data quality is defined and applied, Data Quality helps organizations reduce errors, increase trust in data, and maintain reliable datasets for analytics and operational use.

Note

The Data Quality Manager is available starting 2026.3.0.

Data Quality Manager Access Permissions

Users with the SuperRole or Data Governor role can create and manage the data quality rules.

→ To access the Data Quality Manager, in the Navigation bar, select Data Governance → Data Quality.

Data Quality Manager Anatomy

The Data Quality Manager consists of the following:

Action bar
Overview tab
Rules tab

Action bar

Located at the top of the Data Quality Manager interface, it includes the following features:

Select + New to open the Add New menu. The available options are:

Rule
Import Rules

Select More Options (⋮) to display the following options:

Export Rules
Download Catalog Overview Assets
Download Quality Overview Assets

Data Quality Overview

The Data Quality Manager provides a centralized Overview tab to monitor quality and compliance across the environment. This tab is accessible to Data Catalog Users, Data Governors, and Admin users.

The Overview tab includes three subtabs:

Data Quality
Metadata Quality
Business Rules Compliance

These subtabs can be customized by Data Governors who have the Analyzer User role and view access to the schema containing the quality scores.

Data Quality

The Data Quality subtab provides a framework for defining, managing, and enforcing data quality with a high-level view of data quality rule evaluation results, including the following:

Overall Data Quality score
Scores per domain
Scores per quality dimension, such as Validity, Timeliness, and Completeness.
Number of active versus inactive rules
Number of data quality issues reported through Report Quality workflows.
Score Trend across multiple rule execution runs

Scores are calculated based on evaluations of rules defined under Data Quality → Rules.

Metadata Quality

The Metadata Quality subtab provides a view of the health and completeness of metadata assets across the platform, including the following:

Overall Metadata Quality score
Total number of assets
Number of metadata quality issues reported through Report Quality workflows
Scores per domain
Scores per metadata quality dimension, such as Completeness, Accuracy, and Consistency

Metadata quality evaluation checks assets’ metadata attributes, such as assigned owners, certification, classification, and documentation.

Scores reflect the results of metadata quality evaluations across multiple runs.

Business Rules Compliance

The Business Rules Compliance subtab provides visibility into compliance with business rules defined in the Data Studio, including the following:

Overall business rules compliance score
Scores per quality dimension
Score trend across multiple runs

Results are calculated based on evaluations of business quality rules implemented using Data Studio.

Important

The Data_Quality schema depends on the following reserved quality recipe columns:

__INCORTA__DQ__VIOLATIONS
__INCORTA__DQ__CHECK_TS If these columns are removed from the Data Studio data flow or excluded from the generated MV, the entire schema load fails, even if other flows contain valid quality recipes. This results in Data Quality results not being populated.

Workaround: Ensure the reserved columns exist in all flows. For existing flows, restore any missing columns, redeploy the MV, and then reload the Data_Quality schema.

Data Quality Rules

The Data Quality Manager provides a Rules tab for Data Governors to create simple, no-code data quality rules at the term level. These rules are automatically applied to all associated physical columns, ensuring consistent enforcement of data quality standards across all relevant data.

The Rules tab is composed of the following:

Rules list – A list of all existing rules.
Search bar – Allows users to search by name.
Filter bar – A horizontal filter toolbar that allows narrowing down the rules list by applying multiple filters simultaneously:
- Type – Validation type, such as Validity, Uniqueness, Timelessness, Consistency, Completeness, or Accuracy
- Validation – Validation condition, such as Not null or Greater than (>)
- Term – Assigned glossary term
- Status – Active or Inactive rule status
- Severity – Rule severity level, such as Critical, High, Medium, or Low
- Created By – Rule creator
- Owners – Assigned owner(s)
Items count – Displays the number of rules currently visible.
Refresh icon – Reloads the page when selected.

Data Catalog Manager Actions

Create and manage data quality rules
Search and filter for data quality rules
Export and import of data quality rules
Download data catalog and data quality overview assets

Create and manage data quality rules

Data Governors can set data quality rules as follows:

Navigate to the Data Quality tab and select + New → Rule in the Action bar.
In the Define a Rule dialog, enter the rule Name and Description, then select a Validation.
- When a validation requires a parameter (for example, Contains), the system displays a Validation Value field.
- The Trim and Case Sensitive toggles also appear and can be enabled as needed.
- The system automatically sets the Validation Type based on the selected validation.
Assign the rule to a glossary term from the Data Catalog and assign up to three owners.
Enable the Activated toggle to activate the rule.
Select a severity level: Critical, High, Medium, or Low.
Select Save to create the rule.

The system displays the rule under the Rules tab, where you can update or remove a rule using the Edit or Delete icons.

Notes

You can apply multiple rules to the same glossary term.
The system evaluates data quality rules when you incrementally load a schema.

Search and filter for data quality rules

Find and manage data quality rules using search and filtering options. Search by rule name or filter rules by Type, Validation, Term, Status, Severity, Created By, or Owner.

Export and import of data quality rules

Simplify migration and reuse across environments by exporting and importing data quality rule definitions.

To export rules, select More Options (⋮) → Export in the Action bar. This downloads the rules as a .zip file.
To import rules, select +New → Import Rules in the Action bar. In the Import Rules dialog, browse to or drag and drop the .zip file.

Notes

When importing, if the system detects existing rules with the same name, a warning displays. You can review the warnings and select Ignore to discard duplicates or select Overwrite to replace existing rules.
If imported rules reference glossary terms that do not exist, a warning displays. Select Review Issue to view detailed information, including the line number, issue type, and issue description. Hover over the Eye icon to view the exact rule and the associated glossary term.

Download data catalog and data quality overview assets

Download data catalog and data quality assets as packaged bundles to enable analysis, auditing, and backup, while maintaining existing access and governance controls.

To download data catalog assets, in the Action bar, select More options (⋮) → Download Catalog Overview Assets.
To download data quality assets, in the Action bar, select More options (⋮) → Download Quality Overview Assets.

This feature supports both Cloud and On-Premise deployments. For more information, refer to the Data Catalog Package Installation Guide and Data Quality Package Installation Guide.