One indicator has several “correct” values
Teams use different formulas, periods or sources and end up with incompatible numbers.
Data Governance
Shared data still needs a named person who can make a decision
Good governance answers very ordinary questions. Who sets the rule. Who fixes an error. Which source is authoritative. Who approves a change.
When this becomes a problem
Data Governance
Everyone knows the issue, nobody owns it
There is no data owner or data steward with the authority and responsibility to take the problem through to resolution.
Rules live in people’s heads
Definitions, exceptions and calculation logic disappear when the team changes.
What we work on
What the work covers
You do not judge governance by the number of policies. You see it when there is a conflict. The team knows who decides, which rule applies and where that logic is recorded.
- Define data domains, data owners, data stewards and clear areas of responsibility.
- Build a business glossary and a shared dictionary of indicators, fields and terms.
- Set rules for creating, changing, validating and using critical data.
- Create a practical process for data issues from registration through remediation and closure.
- Connect governance with data quality, metadata, lineage, access controls and BI.
How I work01 02 03 04
How I work
Ownership
Identify critical domains and the people who can actually make decisions.
Shared language
Agree terms, indicators, rules and authoritative sources.
Issues and change
Define how an error, rule change, access request or escalation moves through the organisation.
Launch
Start with the most critical data and expand the model once it works in practice.