Can I customize or define validation or defaulting logic to ensure data quality complies with my company's requirements?

1 Min Read January 27, 2022

We understand that the default industry standard validation or defaulting logic may not always comply with every company's requirements for data quality. In our 22/02 update, we added a feature that uses Groovy scripts to give our users more flexibility in how data hygiene is maintained. Users can easily define the logic that best suits their requirements and ensure that data quality is fully compliant with company standards.

Improved data quality with custom validation and defaulting logic

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