Bootstrap governance for a new data platform

What is Data Governance?

🗂️ Data Governance · The set of rules, roles, and processes that turn data into a trusted, usable, and compliant corporate asset.

Data Classification

🗂️ Data Governance · Labeling every dataset by its sensitivity so the right controls (access, encryption, retention) apply automatically.

Data Ownership & Stewardship (RACI)

🗂️ Data Governance · Who's accountable for each dataset vs who does the day-to-day work. Clear roles kill the 'whose problem is this?' paralysis.

Data Catalog & Metadata

🗂️ Data Governance · The searchable yellow-pages of your data estate: what datasets exist, what they mean, who owns them, and where they come from.

Access Control — RBAC & ABAC

🗂️ Data Governance · Who can access what data, under what conditions. RBAC (by role) is simple but rigid; ABAC (by attributes) is flexible but complex. Most orgs use both.

Retention & Data Lifecycle

🗂️ Data Governance · When to keep data, when to archive it, when to delete it — driven by legal, business, and privacy requirements.