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Building a data governance operating model for a multi country fintech

  • By principal
  • April 6, 2026
  • 120 Views

Client type
Fintech operating across multiple countries

Region
East and West Africa


The challenge
The organisation had rapid growth and multiple product lines but inconsistent
reporting. Teams defined key metrics differently, data ownership was unclear and
analysts spent time reconciling numbers instead of generating insight. Leadership
needed a governance model that improved trust without slowing delivery. Privacy and
access control needed tightening across countries.


What we did

  • Assessed current data flows, reporting practices, metric definitions and access
    controls
  • Defined a practical governance operating model with clear ownership, stewardship
    and escalation paths
  • Created shared definitions for critical metrics and standardised documentation to
    make datasets discoverable and understandable
  • Introduced data quality rules and certification approach for key datasets
    Designed permissioned access patterns and audit-friendly workflows to improve
    security and compliance
  • Built dashboards that highlighted adoption, data quality issues and reporting reliability
    signals

 

Impact

  • Improved trust in reporting through consistent definitions and clear ownership
  • Reduced time spent reconciling conflicting numbers across teams
  • Improved access control and data handling discipline across countries
  • Enabled faster decision-making because stakeholders could rely on the same data
    story