Introduction The healthcare industry is undergoing a massive computational shift. For decades, advancements like electronic health records and remote diagnostics laid the groundwork for connected medicine. Now, an incredible frontier …
EU GDPR – Article 32 (Security of Processing)
Abstract EU GDPR Article 32 focuses on one of the most critical aspects of data protection: security of processing. It places a direct responsibility on both data controllers and 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 …
Oracle Autonomous Database
What is Oracle’s Autonomous Database? Oracle says, Autonomous Database is a mission-critical, converged database that runs transactional and analytic workloads. It automatically scales, tunes, patches, and secures all the workloads …
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 Management – What is Master Data?
What is Master Data Management-MDM Different types of Data play different roles within an organization. They also have different management requirements. Malcolm Chisholm has proposed a six-layer Taxonomy of Data …
Reference and Master Data Management – Guiding Principles
Shared and Owned Enterprise Data in Master Data Mangement Principles Stewardship and Data Quality Governance Change Control and System of Record in Master Data Mangement Principles
Data Quality – Business Rules
Business Rules in Data Quality Business Rules are commonly implemented in software or by using Document Templates for Data Entry. Some common simple Business Rule types are: Type of Business …
Data Quality Programs – Guidance and Principles
Why Data Criticality Matters for a Successful Data Quality Program Criticality: Data Quality programs should focus on the data most critical to the enterprise and its customers. Priorities for improvement …
