The consistently massive challenge for data governance, data quality and data protection is that they require adoption at a cultural level across the business – everyone is responsible for their bit. GDPR Article 25 describes the principle of “Data Protection by design and default” and , while this is still fresh in the organisational memory, Data Quality should consider modelling that approach.
This practical session, from the speakers experience, covers:
• Raising organisational awareness of definitions and scope (dimensions of data quality, ensure versus assure, breadth of data types and media etc.)
• Introducing a mandatory DQIA (data quality impact assessment) within the formal change process
• Maintaining central “Record of Data Quality Issues” (ideally linking to existing organisational artefacts within Operational risk and Incident Management).
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