Data Governance

Data governance is the formal orchestration of people, processes, and technology to ensure enterprise data remains secure, accurate, and compliant.

Effective operators treat data as a high-value asset rather than a byproduct. By implementing frameworks like the DAMA-DMBOK, organizations establish clear ownership and accountability across the lifecycle. This involves setting strict metadata standards, enforcing GDPR or CCPA compliance through automated policy engines, and maintaining a single source of truth to eliminate silos. When executed correctly (using tools like Collibra or Informatica), governance reduces operational friction and prevents the costly 'garbage in, garbage out' cycle in downstream analytics.

https://www.dama.org/cpages/body-of-knowledge