Andrew Geoffrey works with organizations that already have data, and need that data to be reliable enough for decisions, reporting, and compliance. The work is practical: who owns a data set, what the fields mean, which rules it must pass, and how issues get resolved.
Experience with the problem
Governance programs stall when they stay as a committee and a slide. We have spent years in analytics and business intelligence, close to the point where bad data becomes a bad decision. That background is why the engagement starts from the data people are already trying to use.
Fit to your organization
A policy copied from another company will not survive contact with your systems or your org chart. We learn how decisions are made, then shape the operating model, the definitions, and the quality rules to match.
From assessment through handover
An engagement can start with a short assessment of one domain, or with a broader operating model. Either way, the result should be something your stewards can run without us in the room: owners, definitions, issues, and a rhythm for review.
Security and privacy stay in scope
Governance includes who may use the data and how it is protected. We treat privacy, access, and retention as part of the same conversation as quality, not as a separate project that starts later.
Your team keeps the practice
Training is part of the work. Stewards, owners, and the people who consume the data should leave able to hold the definitions and raise issues on their own.