Data Governance Explained in 5 Minutes

Data governance is explained using the analogy of cleaning a house before renovation. The process includes discovery, classification, creating rules, enforcing policies, and using metadata for effective data organization. This helps organizations understand and leverage their data, leading to value creation. Automation is emphasized for streamlining the data governance process.

Methodology

• Discovery: Understanding all data assets across repositories.
• Classification: Assigning data to different categories.
• Creating rules: Enforcing data policies.
• Metadata: Describing data assets for easier use and retrieval.
• Value creation: Monetizing data assets.
• Automation: Streamlining the data governance process.