Skip to main content

Data Quality Gates

Data quality gates provide process-level validation within customer data and identity resolution workflows, ensuring the integrity of data used in your first-party identity graph. Data quality gates can validate the data preparation, resolution, and export processes of your workflows, detect any issues, halt the workflow at any process that needs further review, and provide an error message in the process indicating any data quality problems.

You can review data quality failures in the Data Quality Gate Overview page and have the option to override the data quality gates and resume the workflow.

Default Data Quality Gates

Default data quality gates are available for data preparation, resolution, and export processes. The following table lists the default data quality gates.

Note

Data quality gate thresholds are currently not configurable. Default thresholds are indicated below.

Data Quality Gate

Name in Data Quality Gate Overview Table

Description

Volume Change

volumechange

Checks if the number of values added or removed in the current workflow process run when compared to the previous is under a specified threshold. Default threshold is 0.5%

Mandatory

mandatory

Checks if required fields are populated.

Uniqueness

uniqueness

Checks if specific fields are unique in the dataset.

Uniqueness by Group

uniquenessByGroup

Checks if a specific group of fields is unique in the dataset.