Abstract Big Data has transformed industries worldwide by empowering organizations to utilize massive data volumes for actionable insights that drive strategic and operational benefits. This whitepaper investigates Big Data adoption …
KSA PDPL – Article 17 (Ensuring Accuracy and Integrity of Personal Data)
Abstract This paper examines Article 17, which emphasizes the responsibilities of data controllers to ensure the accuracy, completeness, and updating of personal data. It also covers the requirement for data …
KSA PDPL – Article 14 (Ensuring Personal Data Quality, and Relevance in Personal Data Processing)
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 …
Big Data – Visualization Tools
Traditional tools in data visualization have both a data and a graphical component. Advanced visualization and discovery tools use in-memory architecture to allow users to interact with the data. Patterns …
Data Quality – Policy and Metrics
Data Quality – Policy Data Quality efforts should be supported by and should support data governance policies. For example, governance policies can authorize periodic quality audits and mandate compliance to …
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 Program – Implementation Guidelines
Typically, a hybrid approach works best – top-down for sponsorship, consistency, and resources, but bottom-up to discover what is actually broken and to achieve incremental successes. Improving data quality requires …
Data Quality – Audit Code Module and Metrics
Quality Check and Audit Code Modules Create shareable, linkable, and re-usable code modules that execute repeated data quality checks and audit processes that developers can get from a library. If …
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 …