Common Data Quality Issues – Part 1: Causes and Consequences Common Data Quality issues can emerge at any point in the data lifecycle, from creation to disposal. When investigating root …
As an accomplished professional with a Master Degree in Computer Science (Specialization in Software Engineering) and a PGD in Management Information Systems, over 20 years of hands-on experience in Information Technology, Data Governance, Data Management, and PDPL plus NCA Compliance. Expertise spans diverse sectors, including Aviation, Healthcare, Investment, Education, and Construction, allowing me to effectively bridge the gap between technical and business needs.
Leadership roles include Manager – Data Management (DMO), Manager Systems, Sr. Team Lead – Data Specialist, Manager Applications, and Adjunct Faculty Member among others. I am also deeply involved in applied research, focusing on Big Data Governance, Privacy, Security, and Compliance. My work has been published in prestigious international journals, offering valuable insights into solving industry challenges.
Possesses extensive expertise spanning a diverse range of platforms, tools, technologies, hardware, software, and operating systems, effectively leveraging this knowledge to address complex challenges in Data governance, security, privacy and compliance.
With 45+ professional certifications, including Certified Data Management Professional (CDMP), GDPR, CCPA, Certified Data Protection Officer (CDPO), ITIL, EC-Council Disaster Recovery Professional, AWS Cloud Certified, Oracle Technologies including e-Business, Databases, and Oracle Cloud Infrastructure (OCI). I have continually enhanced my expertise in the ever-evolving field of data privacy and security. My competencies also include Disaster Recovery, Business Continuity, Regulatory Compliance (GDPR, NCA, CCPA, NDMO), Data Architecture, Metadata Management, and more.
Numerous initiatives in Data Governance, Data Management, Data Privacy, Data Protection, ensuring compliance with international, and local standards such as NCA, GDPR, KSA PDPL, and NDMO.
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 …
Data Quality – Core Dimensions
What Are Data Quality Dimensions and Why Do They Matter A Data Quality dimension is a measurable feature or characteristic of data. The term dimension is used to make the …
Data Warehouse / Business Intelligence Projects – Critical Success Factors
Securing Executive Support Through Business Sponsorship Business Sponsorship: Is there appropriate executive sponsorship, i.e., an identified and engaged steering committee and commensurate funding? DW/BI projects require strong executive sponsorship. Defining …
OLAP – ROLAP, MOLAP and HOLAP
How OLAP, ROLAP, MOLAP, and HOLAP Work OLAP – Online Analytical Processing It is a technology used to organize large business databases and supports performing complex and multidimensional analysis, at …
Business Intelligence – Reporting and Analysis
Business Intelligence – Reporting and Analysis Operational Reporting Operational Reporting is the application of Business Intelligence tools to analyze business trends, both short-term (month-over-month) and longer-term (year-over-year). Operational reporting can …
Metadata Management – At a Glance
Data Quality – Core Dimensions Data Quality – Improvement (Part 1)