- Accountability Principle: An organization must identify individual who are ultimately accountable for Data and Content of all types.
- Asset Principle: Data and Content of all types are assets and have characteristics of other assets. They should be managed, secured, and accounted for as other material or financial assets.
- Audit Principle: The accuracy of Data and Content is subject to periodic audit by an independent body.
- Due Diligence Principle: If a risk is known, it must be reported. If a risk is possible, it must be confirmed. Data risks include risks related to poor Data Management practices.
- Going Concern Principle: Data and Content are critical to successful, ongoing business operations and management (i.e., they are not viewed as temporary means to achieve results or merely as a business by-product).
- Level of Valuation Principle: Value the Data as an asset at a level that makes the most sense, or is the easiest to measure.
- Liability Principle: There is a financial liability connected to Data or Content on regulatory and ethical misuse or mismanagement.
- Quality Principle: The meaning, accuracy, and lifecycle of Data and Content can affect the financial status of the organization.
- Risk Principle: There is risk associated with Data and Content. This risk must be formally recognized, either as a liability or through incurring costs to manage and reduce the inherent risk.
- Value Principle: There is value in Data and Content, based on the ways these are used to meet an organization’s objectives, their intrinsic marketability, and/or their contribution to the organization’s goodwill (balance sheet) valuation. The value of information reflects its contribution to the organization offset by the cost of maintenance and movement.
Data Asset Accounting Principles
Master’s degree in computer science with Specialization in Software Engineering and Earned PGD in Management Information System, in addition to 45+ Online Professional Certifications.
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.
Engaged in Applied Research with a focus on Big Data Governance, Privacy, Security, and Compliance, resulting in the publication of numerous articles and research manuscripts in prestigious international journals, including the Journal of Sensor Networks and Data Communications, the Journal of Electrical Electronics Engineering, and the Innovative Journal of Applied Science. These works contribute practical insights and solutions to address industry challenges effectively.
Experience includes leading data governance and management initiatives, ensuring compliance with NDMO, GDPR and KSA PDPL, and implementing/improving data security, privacy, & protection.
Served in leadership capacities such as Manager – Data Management, Adjunct Faculty Member, Sr. Team Lead – Database Specialist, Sr. Team Lead Consultant, Sr. Applications DBA, Sr. Resident Consultant, and Manager Systems.
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.
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)
For further detail