Data governance and enablement
Better ownership, definitions, quality, and confidence — governance that helps rather than hinders.
Governance has a reputation problem: it sounds like committees and policy documents. Done well, it is much simpler — knowing who looks after each piece of data, agreeing what your key terms mean, and steadily improving the quality of the data you rely on most.
We keep governance proportionate. For most organisations, that means lightweight ownership, a working glossary, and quality checks on a handful of critical datasets — not a thirty-page framework. The aim is enablement: a team that trusts its data and needs less outside help, not more.
Who this is for
This usually helps organisations where:
- Nobody is quite sure who owns key data, so quality problems persist because they are everyone's and no one's.
- The same term — "active member", "service user", "income" — means different things in different teams.
- Documentation is thin, and knowledge about your data lives in a few people's heads.
- Funders, regulators, or trustees are asking harder questions about data quality and handling.
What we do
- Practical data ownership and stewardship arrangements that fit your structure — not a corporate framework imposed from outside.
- A shared business glossary of agreed definitions for the measures that matter most.
- Data quality baselines, monitoring, and a realistic plan for fixing the issues that hurt the most.
- Documentation, training, and ways of working that build your team's confidence with data.
What you get
- Clear answers to "who owns this data?" and "what does this number mean?"
- Improving data quality that people can see, focused on the data that matters most.
- A team that is more confident and self-sufficient with data — less dependent on outside help over time.
Ready to talk about your data?
Get in touch for an informal conversation about where you are, what is getting in the way, and what would help. No hard sell — just a clear view of your options.