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What is Data Governance?
The rules, roles, and processes that determine who can access what data, how it is maintained, and who is responsible when something goes wrong.
What it is
Data governance is the operating manual for how your organisation handles data. It answers questions like: Who owns the customer database? Who is allowed to change the pricing data? What happens when two systems disagree on revenue? Think of it like the rules of the road – without traffic lights and lane markings, every intersection becomes a negotiation. Governance is not about bureaucracy or locking things down. It is about clarity: everyone knows where the data is, who maintains it, and what the rules are.
Why it matters for your business
Without governance, data problems have no owner. The sales team enters data one way, finance enters it another, and nobody is wrong because there were never any agreed rules. This becomes critical during audits, compliance reviews, or acquisitions. A mid-market financial services firm we worked with failed a regulatory audit because they could not demonstrate who had accessed client data or when changes were made – a $350,000 remediation that proper governance would have prevented. Even outside compliance, governance saves time. When everyone follows the same naming conventions, the same update schedules, and the same definitions, your data works together instead of against itself.
How we approach it
We design governance that fits your size. A 200-person company does not need the same framework as a bank. We define data owners for each domain (finance, sales, operations), establish clear naming conventions, set up access controls, and create a lightweight data dictionary that maps every key metric to its source. The goal is a framework your team will actually follow – not a 100-page document that sits in a drawer.
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Key Takeaways
- •Governance answers "who owns this data?" – and without that answer, quality problems have no owner.
- •Regulatory and audit exposure is real: companies without clear data governance face six-figure remediation costs.
- •Good governance is lightweight and practical – a data dictionary, clear owners, and agreed naming conventions.
- •Start small. Define owners for your top 10 data assets and build from there.