This guide outlines five critical components of successful data governance. First, a modern data architecture reduces silos and enables secure sharing. Second, data quality tools ensure accurate, trustworthy data for analytics and AI. Third, data management practices help track, classify, and audit data use. Fourth, strong data security combines access controls, encryption, and monitoring to protect sensitive information. Finally, compliance capabilities ensure adherence to regulations like GDPR and HIPAA, with features such as dynamic data masking and audit trails. Together, these practices enable secure, governed, and scalable data use.

Join for free to read