Use data quality policies to ensure that your data is of the desired quality.
A data quality policy has one or more versions. A data quality policy version contains all elements of a data quality policy, except for the data quality policy header. This picture shows the data quality policy structure: 
These data quality policy elements are version-specific:
Validation rule: Checks if the data is in line with the defined standards.
Duplicate check rule: Checks if the data doesn't already exist in the table.
Enrichment rule: Sets a value to complete or enrich data in the same table or in a related table.
Organization assignment: Defines to which organizations the data quality policy applies.
Element-specific setup:
For each rule, you can use conditions to define the data to which the rule applies.
For each validation rule, you can define a validation message that is shown if the validation rule is not met.
To define the organization association, you can use legal entities or an organization hierarchy.