Part of Data & AI
Data strategy & governance
Decide which data matters, who owns it and how it is managed, so decisions rest on figures people trust.
Most organisations do not lack data; they lack agreement on what it means and who answers for it. We start with the decisions you need to make, then build the ownership and rules to support them.
When to call us. Signs it’s time for this work.
- Two reports on the same topic give two different answers.
- Nobody can say who owns customer or financial data.
- A regulator or auditor has asked how personal data is handled.
- Data projects start with enthusiasm and stall within months.
What’s included. Scoped to your context, delivered end to end.
- 01
Data strategy and roadmap
A clear view of which data assets support your priorities, and the order in which to invest in them.
- 02
Ownership and operating model
Named data owners and stewards, a governance forum with defined decision rights, and a meeting rhythm that lasts.
- 03
Policies and standards
Practical rules for quality, classification, retention and access, written for the people who must follow them.
- 04
Data protection compliance
Alignment with applicable national and regional data-protection law, including processing records and data-sharing agreements.
How we work. Four phases, with value at every step.
- 1
2–3 weeks
Diagnose
Interviews, a maturity assessment and a review of the reports leaders actually use to make decisions.
- 2
3–4 weeks
Define
Agree priority data domains, target ownership and the first policies needed, with leadership sign-off.
- 3
6–8 weeks
Pilot
Apply governance to one or two domains, fix real quality issues and test the forum in practice.
- 4
Ongoing
Scale
Extend domain by domain, coach data owners and track progress against agreed quality measures.
What you walk away with
- Data maturity assessment
- Data strategy and roadmap
- Governance operating model
- Data policy handbook
- Business glossary and catalogue
What changes
- One agreed version of key business figures.
- Clear accountability for every critical data domain.
- Lower regulatory exposure on personal data.
Where we do this work. Sectors where this service matters most.
- Financial ServicesBanks, insurers and asset managers modernising for a digital, regulated and increasingly competitive market.
- Public SectorGovernment bodies and agencies delivering simpler, more trusted public services.
- Healthcare & Life SciencesProviders, payers and life-science companies improving outcomes, access and efficiency.
Common questions.
Do we need a new platform before starting on governance?
No. Governance is mostly about people, decisions and rules. It works best before a platform investment, because it tells you what the platform must support.
Who should own data in our organisation?
The business, not IT. Data owners sit where data is created and used; IT provides the tools and custody. We help you name them and define their role.
How do you stop governance becoming bureaucracy?
We start small, tie every rule to a real problem and measure quality on data people use daily. Policies nobody needs are removed.
More in Data & AI. Offerings that often run together.
- Data platformsDesign and build data platforms that bring scattered sources together, reliably and at a cost you can sustain.
- Applied AI & automationPut machine learning and automation to work on specific operational problems, with measurable value and people kept in control.
- Analytics & business intelligenceTurn data into dashboards, reports and analysis that leaders read and act on, rather than simply receive.
Discuss Data strategy & governance
Tell us where you are. We’ll tell you honestly whether and how we can help.