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 …
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 related consecutive hands-on experience, possess diversified business and technical background across the Aviation, Healthcare, Investment, Education, and Construction sectors.
45+ Online Professional Certifications, which includes:
• CDMP – Certified Data Management Professional
• CDPO – Certified Data Protection Officer
• GDPR – General Data Protection Regulation Practitioner
• EDRP – EC-Council Disaster Recovery Professional
• AWS Certified Cloud Practitioner
• Oracle Enterprise Data Management Professional
• Oracle Database Cloud Certified Professional
• ITIL – Information Technology Infrastructure Library (ITSM – IT)
Experience includes leading data governance and management initiatives, ensuring compliance with NDMO, GDPR and KSA PDPL, and implement/improve data security, privacy, & protection. Expertise spans a wide variety of platforms, tools, technologies, hardware, software, and operating systems.
Served in leadership capacities such as Manager – Data Management, Sr. Team Lead – Database Specialist, Sr. Team Lead Consultant, Sr. Applications DBA, Sr. Resident Consultant, and Manager Systems.
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 – Incident Tracking System
The incident tracking system will collect performance data relating to issue resolution, work assignments, volume of issues, frequency of occurrence, as well as the time to respond, diagnose, plan a …
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 …
Data Quality Reporting
The work of assessing the quality of data and managing data issues will not benefit the organization unless the information is shared through reporting so that data consumers understand the …
Data Quality Rules
Data Quality Rules provide the foundation for operational management of Data Quality. Rules can be integrated into application services or Data services that supplement the Data lifecycle, either through Commercial-Off-The-Shelf …
Data Quality – Improvement (Part 1)
In order to improve the Data Quality, DQ Analysts must have the clear picture about Current State of Data Quality as well as Organizational Readiness for Data Quality. Getting a …
Data Quality Assessment
DQ Analysts will need to sort out and prioritize findings. The goal of an initial Data Quality Assessment is to learn about the Data in order to define an Actionable …
RDM – Reference Data Management
Reference Data is any data used to characterize or classify other data, or to relate data to information.Reference Data Management entails control and maintenance of defined domain values, definitions, and …
Data Management – What is Master Data?
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 that includes Metadata, Reference Data, …