01Data quality and governance
- Check data completeness, accuracy and consistency
- Define rules, controls and the role of data stewards
- Structure client, account and reference data
- Reconcile data across systems
02Process automation
- Simplify and standardise processes
- Automate repetitive tasks (RPA, workflows) across Front, Middle and Back Office
- Reduce operational risk and strengthen traceability
A quick reminder of the scope
Data quality determines the reliability of decisions, reporting and controls. Automation drives efficiency while strengthening the control framework.