Abstract Of KSA PDPL – Article 14 This paper examines Article 14 of the Kingdom of Saudi Arabia’s Personal Data Protection Law (PDPL), focusing on the controller’s obligation to ensure …
Professional Journey – A Momentary Look
Career Snapshot Master’s degree in computer science with Specialization in Software Engineering and Earned PGD in Management Information System. Accumulated 20+ years’ Information Technology, Data Governance, Data Management, and Compliance …
Build the Data Management Organization – Part 02
Identify and Analyze Stakeholders Data Security Management Understanding Stakeholders A stakeholder is any person or group that can influence or be affected by the Data Security Management program. Stakeholders can …
Data Management Organizational Constructs and Operating Models – Part 02
Key Components of Data Governance and Operating Frameworks Decentralized Operating Model In a decentralized model, data management organizational responsibilities are distributed across different lines of business and IT. Collaboration is …
Understand Organization and Cultural Norms
Awareness, Ownership, and Accountability in Data Management Initiatives Awareness, ownership, and accountability are the keys to activating and engaging people in Data Management initiatives, policies, and processes. Understanding the Current …
Data Science – Process and Iterative Phases
Data Science Process: A Step-by-Step Scientific Approach The Data Science process follows the scientific method of refining knowledge by making observations, formulating and testing hypotheses, observing results, and formulating general …
Data Science – Dependency
Developing Data Science Solutions Developing Data Science solutions involves the iterative inclusion of data sources into models that develop insights. Data Science depends on: Rich Data Sources in Data Science …
Data Quality Program – Readiness Assessment / Risk Assessment
Importance of Readiness Assessments in Data Governance Findings from a readiness assessment will help determine where to start and how quickly to proceed. Findings can also provide the basis for …
Data Quality – Preventive and Corrective Actions
Data Quality Improvement: Preventive Actions How Does Metadata Improve Data-Quality The best way to create high quality data is to prevent poor Q.D from entering an organization. Preventive actions stop …
Data Quality – Tools
Data Quality Tools in Enterprise Planning Tools should be selected and tool architectures should be set in the.planning phase of the enterprise Data Quality program. Tools provide a.partial rule set …