Data & AI governance and data management

Start with the way the organisation works

Data crosses departmental and system boundaries. The person who enters it, the person who maintains it and the person who relies on it may be in different teams. We establish ownership, decision-making and working arrangements across that lifecycle, connected to the organisation’s objectives and appetite for risk.

Make data management work

We look at how customer, product and other master data are maintained, how reference data is shared, and how definitions, metadata and lineage are recorded. That includes the processes for finding and resolving quality issues, agreeing standards and making useful data available to the people who need it.

Connect people, processes and tools

A catalogue or master data tool does not establish accountability on its own. We bring together stewardship, operating models, policies, practical procedures and technology, with a prioritised roadmap that reflects the organisation’s capacity to change.

A framework that fits

Our data governance framework provides a structured starting point for assessing maturity and identifying improvements. We adapt it to your organisation and can work within an existing framework where one is already established.

Extend the thinking to AI

AI introduces questions about the information being used, the suitability of a model or service, the checks on its output and who remains accountable. We connect those decisions to existing data, security and business controls, with appropriate human review and ongoing monitoring.

Explore our data governance framework