Governance fails when it is a document and succeeds when it is a control. We put ownership, classification, access and retention into the platform so the right behaviour is the easy one — and so an audit is a query rather than a project. The aim is to make data usable safely, not to make it hard to reach.
Data & Analytics
Data Governance
Rules that are enforced by the platform rather than by policy documents.
Overview
What the engagement covers
- A catalogue with owners and definitions, kept current automatically
- Classification of sensitive data, with access following the class
- Retention and deletion implemented rather than documented
- Lineage sufficient to answer where a number came from
- Access request and review workflows people will actually follow
What you leave with
- Audit questions answerable from the platform
- Sensitive data reachable only by those who should reach it
- Governance that speeds analysts up rather than blocking them
Data & Analytics
The rest of this practice
Data Governance, scoped to your estate
Tell us where you are and what it has to be worth. We will come back with a scope, a sequence and a number.