Data governance that survives contact with the business

Governance fails when it's a document instead of a workflow. A practical model for ownership, stewardship, and enforcement.

Most organizations arrive at this problem the same way: a decision made under time pressure two or three years ago, layered over by every decision since. The technology isn't broken so much as unexamined, and the cost of leaving it unexamined compounds quietly on a monthly invoice.

Our diagnostic starts with what the environment actually does, not what the architecture diagram claims. We trace the workflows, pull the usage data, and hold it against what the business needs the system to deliver over the next eighteen months. That gap is where the recommendation comes from.

Because we're vendor-agnostic, the recommendation isn't constrained by a catalog. Some engagements end with a migration, some with a renegotiated contract, and some with a decision to change nothing but the governance around it. All three count as a good outcome when the numbers support them.

If any of this maps onto what you're seeing in your own estate, that's usually a good signal to run a structured assessment before the next renewal cycle forces the decision for you.