Abstract 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 the accuracy, completeness, timeliness, and relevance …
Build the Data Management Organization – Part 02
Identify and Analyze Stakeholders A stakeholder is any person or group who can influence or be affected by the Data Management program. Stakeholders can be internal to or external to …
Data Management Organizational Constructs and Operating Models – Part 02
Decentralized Operating Model In a decentralized model, data management responsibilities are distributed across different lines of business and IT. Collaboration is committee-based; there is no single owner. Many Data Management …
Understand Organization and Cultural Norms
Awareness, ownership, and accountability are the keys to activating and engaging people in Data Management initiatives, policies, and processes. Before defining any new organization or attempting to improve an existing …
Data Science – Process and Iterative Phases
The Data Science process follows the scientific method of refining knowledge by making observations, formulating and testing hypotheses, observing results, and formulating general theories that explain results. Within Data Science, …
Data Science – Dependency
Developing Data Science solutions involves the iterative inclusion of data sources into models that develop insights. Data Science depends on: Rich Data Sources: Data with the potential to show otherwise …
Data Quality Program – Readiness Assessment / Risk Assessment
Findings from a readiness assessment will help determine where to start and how quickly to proceed. Findings can also provide the basis for roadmapping program goals. If there is strong …
Data Quality – Preventive and Corrective Actions
Preventive Actions The best way to create high quality data is to prevent poor quality data from entering an organization. Preventive actions stop known errors from occurring. Inspecting data after …
Data Quality – Tools
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 starter kit but organizations need to …
Data Quality – SLA – Service Level Agreements
A data quality Service Level Agreement (SLA) specifies an organization’s expectations for response and remediation for data quality issues in each system. Data quality inspections as scheduled in the SLA …