Data governance
Governance that runs every day, not a binder.
Data governance decides who owns which data, how decisions about it are made, and how issues get fixed. We build it as an operating mechanism, around the data the business actually runs on.
01 / Symptoms
What it looks like.
- Policies nobody follows.
- A committee that meets but doesn't decide.
- No named owner for customer or supplier data.
- Audit findings nobody can trace to source.
- A new rule or regulation that nobody knows how to apply to the data.
02 / What we do
Owners and decision rights, not just policies.
- Ownership and stewardship roles, with time actually allocated.
- Decision rights and an escalation path.
- Policies written as rules that systems and stewards can apply.
- Issue management from report to fix.
- Governance for KYC, KYS and sanctions screening data.
- Alignment with the rules that apply to your sector.
03 / How it connects
Why we start where it hurts.
Governance works when it has something concrete to govern. We usually start with the master data domains that hurt most, so owners, rules and workflows have a real job from the first week.
04 / Experience
- Governance programs
- Frameworks designed for regulatory scrutiny in financial services and insurance.
- Master data based
- Governance built into customer and supplier master workflows.
- Screening
- KYC, AML and sanctions screening data foundations.
Where it shows up
Questions
We tried governance before and it faded.
Most programs fail organizationally, not technically. We tie each role to a workflow and a measure, so the work is visible and doesn't depend on goodwill.
Start with 30 minutes.
Tell us the symptom. We'll tell you plainly whether we can fix it.