gestion-datos-calidad

Data quality rules enforce completeness, validity, uniqueness, consistency, timeliness, and integrity for operational data. You can configure rules for specific entities and set critical severity levels to block writes automatically when validation failures occur.

Data lineage tracking monitors data from its source through transformations to its destination. It supports compliance in fintech, regtech, and healthtech by providing clear visibility into data origins and transformations for auditing purposes.

Master data management normalizes key entities like merchants, categories, and tags to reduce duplicates. This process ensures consistent operational data across systems by maintaining a single, verified source for each critical business entity.

Yes, the data governance framework includes detailed audit logging by action and entity. It logs all entity changes to maintain traceability, which is essential for debugging issues and meeting compliance requirements in regulated industries.

To maintain a data catalog, document all data entities, fields, sensitivity levels, and ownership details. This cataloging process provides a centralized inventory that supports data governance and ensures accountability across operational data assets.

You can configure data quality rules for the Transaction entity by setting the severity to critical. This setup ensures the system blocks write operations automatically whenever a transaction fails the defined data quality validation checks.