What is Data Governance?
The set of rules, roles, and processes that turn data into a trusted, usable, and compliant corporate asset.
is how an organization decides WHO can do WHAT with data, and how quality is kept up. Think of it as the HR rulebook, but for data: who owns which dataset, who can read or modify it, how long it's kept, and what happens when something breaks.
Without governance, data is messy: 12 versions of 'customer' across systems, numbers that don't match between reports, old records nobody deletes. With governance, you can trust the data you use and prove to auditors how you use it.
Three legs hold it up: policies (the rules), processes (how the rules are enforced), and tools (what makes it practical to apply them at scale). Skip any leg and it collapses.
Who cares? Almost everyone: the CFO (financial reporting compliance), the CISO (security), legal (privacy regulations like GDPR), marketing (trustworthy analytics), engineering (stable pipelines). Data Governance is the shared language that lets them cooperate.
Comparison to adjacent disciplines: is the execution (storing, moving, querying data). Data Governance is the decisions and oversight (which standards apply, who is accountable). One without the other = either anarchy or bureaucracy.
Grounded on https://www.dama.org/cpages/body-of-knowledge
Next up
Data Classification
Labeling every dataset by its sensitivity so the right controls (access, encryption, retention) apply automatically.