Implementing data quality monitoring and validation processes to ensure the accuracy and completeness of the data, focusing on automated validation rules and anomaly detection.

Establishing data security policies and controls, including encryption at rest and in transit, role-based access control (RBAC), and regular security audits to protect sensitive data and prevent unauthorized access.

Deploying data lineage tracking and audit capabilities to provide comprehensive visibility into data origins, transformations, and usage, facilitating compliance with regulatory requirements and data impact analysis.

Incorporating all of the above components to create a holistic data governance framework that addresses data quality, security, and compliance in a unified manner.