How Successful Enterprise Teams Do Data Governance: 10 Best Practices

This post details 10 best practices for enterprise data governance, focusing on execution rather than awareness. It emphasizes balancing self-service analytics with security, classifying data by sensitivity (public, internal, confidential, restricted), enforcing data quality dimensions (accuracy, completeness, consistency, timeliness, validity, uniqueness) through standards and checks, adopting security by design principles throughout the data lifecycle, centralizing metadata management via tools like Secoda, automating governance processes for risk management and policy enforcement, conducting regular impact assessments for changes and policy updates, and building data literacy programs. It also touches on crisis management protocols and the importance of cross-functional committees.