Data Integrity

To protect data integrity across all dimensions – quality, consistency, completeness, and accuracy – organizations must implement rigorous monitoring spanning every platform where data resides, from databases and data warehouses to applications and data lakes. When misalignments or potential integrity violations are detected, an automated notification system should alert all impacted teams and individuals, ensuring full transparency and accountability. Additionally, the monitoring system can trigger automated reconciliation workflows to programmatically identify and update the correct data values across systems, resolving integrity gaps.