Rollout Strategy

Rollout Strategy

Start with a single high-value domain, prove the model, then expand. Big-bang governance projects fail.

Why it matters

Governance lands when one team's data became findable and trusted. That story scales; a 200-page framework does not.

Going deeper

The 'Thin Slice' approach to rollout:

Instead of rolling out the Catalog org-wide, then rolling out Data Quality org-wide, then rolling out Ownership org-wide... roll them all out for one critical dataset (e.g., the core Fact_Sales table).

Find the owner, apply the catalog definition, set up the DQ contract, and hook up lineage. You'll run into friction, culture clash, and tooling gaps. You solve them for this one dataset. Now you have a proven blueprint. You replicate this success domain by domain. This guarantees that you are delivering business value in weeks, not years.

A governance rollout is like cleaning a hoarder's house.

If you start by writing a 200-page manual on 'How This House Will Be Clean', and then try to clean every room at the exact same time by moving a little bit of dust in the living room, then a little in the kitchen, you get exhausted, the house looks exactly the same, and the family revolts.

The winning strategy is to pick the kitchen. Focus entirely on the kitchen. Make the kitchen spotless, organise the drawers, set the rules for dishwashing. When the family sees how nice the kitchen is, they buy into cleaning the living room. Choose one high-value data domain, govern it well, and let that success sell the rest.