Om avsnittet
Everyone wants better dashboards. Better analytics. Better AI. Better decisions. But there is an uncomfortable problem underneath all of them. What if the data is wrong? A beautiful dashboard built on weak definitions, inconsistent master data or unclear ownership is still a beautiful presentation of uncertainty. That is why I see Data Governance as one of the foundations of Enterprise Performance Management. You cannot reliably manage performance if you cannot reliably understand the data beneath it. Performance management starts below the dashboard When people discuss performance management, they often start with the visible layer. KPIs. Scorecards. Dashboards. Reports. Those are important, but they sit surprisingly high in the information chain. Underneath every KPI are definitions, calculations, business rules, master data, transactional data, systems and people responsible for maintaining all of it. If those foundations are weak, problems eventually surface further up. Two departments report different versions of the same number. A KPI suddenly changes because a definition changed. A product appears differently across systems. A customer is duplicated. A calculation works technically but measures something nobody intended. Then the meeting that should be about performance becomes a meeting about data. That is expensive. A dashboard cannot compensate for weak foundations This is a principle I keep coming back to. A dashboard cannot compensate for weak foundations. Technology can make data easier to process, visualise and distribute. It cannot automatically make the underlying information trustworthy. If a source contains duplicates, the dashboard can display duplicates faster. If ownership is unclear, automation can scale the uncertainty. If definitions differ between systems, AI can summarise the disagreement beautifully. The technology is not necessarily the problem. The foundations are. What is Data Governance? Data Governance provides the structure for deciding how important data should be defined, owned, maintained, protected and used. It establishes accountability. Who owns this data? Who maintains it? Who can change it? Which definition is authoritative? Which system is the source? How do we measure quality? What happens when something is wrong? Good governance makes those questions answerable. It should not exist simply because an organisation wants a governance framework. It should make the organisation easier to operate. Governance is not the same as bureaucracy There is always a risk that governance becomes synonymous with committees, documentation and approval chains. That is not the objective. Good governance should reduce friction. If everybody knows the authoritative definition, there are fewer debates. If ownership is clear, issues move faster to the right person. If standards are built into normal processes, fewer defects need to be corrected later. If metadata explains…
