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Our articles to structure your governance, certify your data, make your business teams autonomous and succeed with your AI projects

Ready for AI and self-service? 10 points to check

  1. Your critical sources are inventoriedYou know where every piece of data used in your key indicators comes from
  2. Every critical domain has a data owner and a data stewardThe roles are named, known and given dedicated time
  3. Your KPIs have a written, approved definitionThe same indicator is calculated the same way across the whole company
  4. The quality of your critical data is measuredRules and thresholds flag anomalies before they reach the reports
  5. A catalogue describes your dataTables, columns and indicators have a description a business user can read
  6. Certified datasets serve as the referenceReports and AI rely on documented, approved semantic models
  7. Your reports are organised in layersCertified reports, team reports and personal analyses are told apart
  8. Your BI workspaces have rulesPublishing, access and sharing follow rules everyone knows
  9. Your business teams are trained and supportedLearning paths by level, champions and a community keep BI alive
  10. Your AI use cases are prioritisedThey are chosen for their value and for the availability of certified data

Fewer than 7 points checked? Take the free online assessment or book a 30-minute call

The terms you will hear during a data project, explained simply

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