A blog about Product Management, Data Management and Self-Driven Learning
The DASUD framework, developed by Nigel D'Souza, accelerates Data Governance implementation within 6 months by contextualising organisational needs. It focuses on designing data strategies through five key questions: Design, Acquire, Store, Use, and Delete. Prior prerequisites include defining roles, classification, approval processes, prioritising issues, and fostering a change-ready culture.
Auditing is vital for a strong data governance framework, helping organisations ensure compliance, manage risks, and maintain accountability. It validates data governance policies, identifies process gaps, and promotes transparency. Key audit components include access logs, data quality checks, and compliance metrics. Overall, auditing enhances long-term data integrity and organisational confidence.
In today's data-driven environment, organisations must balance data security and accessibility to meet business needs and compliance. This involves understanding data sensitivity, implementing role-based access, using encryption, monitoring user activity, automating access management, creating a data security policy, and regularly reviewing access rights. A proactive approach ensures sensitive information is protected while maintaining necessary accessibility.
Access-based controls (ABC) are essential for data security, regulating who accesses data and what actions they can take. Key components include Role-Based Access Control and the Least Privilege Principle. Best practices emphasise automation, segmentation, staff training, and monitoring to ensure robust data governance while maintaining accountability and compliance across organisations.
High-level architecture diagrams offer crucial insights into data flow and connectivity within organisations. They enhance clarity, facilitate collaboration, and promote scalability. Adopting standards like BPMN can streamline processes, while tools such as Microsoft Visio aid in creating these diagrams. Regular updates ensure accuracy, supporting effective data governance strategies.
Nigel D'Souza 