Webinar – Data Quality by Design and by Default Model GDPR Concepts for Data Protection

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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