You can run a data quality assessment to validate your existing customer records.
To do so:
Set up data quality assessment project
Data quality studio > Quality assessment > Quality assessment projects
Set up a data quality assessment project to check for duplicates in the existing customer accounts.
Set up the data quality assessment project as specified here:
Section | Instruction |
|---|---|
General | Name: Customer assessment |
Data quality policy assignment |
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For more information, refer to Set up data quality assessment project.
Run data quality assessment project
Data quality studio >review and finish Periodic tasks > Run quality assessment
Run a data quality assessment project to check for duplicates in the existing customer accounts.
Set up the data quality assessment run as specified here:
Setting | Instruction |
|---|---|
Project name | Customer assessment |
Company | You can run the selected data quality assessment projects in:
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Run in the background | A data quality assessment project is always run in batch in the background. You can run a data quality assessment in a recurring pattern. Fill in the fields and define the recurrence as desired.
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For more information, refer to Run data quality assessment.
Review data quality assessment results
Data quality studio > Inquiries > Quality assessment exceptions log
For each run quality assessment project, all related records with at least one warning or error are shown in the Quality assessment exceptions log. You can review the Quality assessment exceptions log.
The sequence of activities in the Quality assessment exceptions log review is:
Review and merge duplicates (as the Customer assessment only checked for duplicate customer accounts)
For more information, refer to Apply data quality rules on data quality assessment.