Most organizations start with a Decentralized Model before they move toward a formal Data Management Organization (DMO). As an organization sees the impact of improvements in Data Quality, it may …
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.
Build the Data Management Organization – Part 02
Identify and Analyze Stakeholders A stakeholder is any person or group who can influence or be affected by the Data Management program. Stakeholders can be internal to or external to …
Build the Data Management Organization – Part 01
Identify Current Data Management Participants When implementing the operating model, start with teams already engaged in data management activities. This will minimize the effect on the organization and will help …
Critical Success Factors – Part 02
Executive SponsorshipHaving the right executive sponsor ensures that stakeholders affected by a Data Management program receive the necessary guidance to transition efficiently and effectively through the changes needed to put …
Data Management Organization – Critical Success Factors
Ten factors have been consistently shown to play a key role in the success of effective Data Management Organizations, regardless of their structure: Executive sponsorship Clear vision Proactive change management …
Data Management and Organizational Change Management – Part 01
For most organizations, improving data management practices requires changing how people work together and how they understand the role of data in their organizations, as well as the way they …
Data Management Organizational Constructs and Operating Models – Part 02
Decentralized Operating Model In a decentralized model, data management responsibilities are distributed across different lines of business and IT. Collaboration is committee-based; there is no single owner. Many Data Management …
Data Management Organizational Constructs and Operating Models
A critical step in Data Management Organization design is identifying the best-fit operating model for the organization. The operating model is a framework articulating roles, responsibilities, and decision-making processes. It …
19c – Clone PDB to another CDB using DBLink
Identify the Source PDB, which needs to be Cloned: SQL> show pdbs CON_ID CON_NAME OPEN MODE RESTRICTED 2 PDB$SEED READ ONLY NO 3 TESTTST01 READ WRITE NO You may receive …
Understand Organization and Cultural Norms – 02
After forming a picture of current state, assess the level of satisfaction with current state in order to gain insight into the organization’s data management needs and priorities. For example: …