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Data Governance According to National Standards
Master Oman's national data governance framework โ policy, quality, security, compliance, and AI-era data readiness.
Course Overview
As Oman advances its digital economy, data governance has become a critical institutional capability. This course provides a comprehensive understanding of the national data governance framework, data quality management, security and access control, and implementation โ all grounded in Oman's regulatory context. Includes a forward-looking module on AI-era data governance: what changes when AI systems consume your organisation's data.
What You Will Learn
Course Outline
1
Module 1: Data Governance Foundations
What is data governance and why it matters. Common data problems. Governance frameworks. Roles and responsibilities: who owns data?
2
Module 2: Data Quality Management
Defining data quality dimensions. Building validation rules and data entry standards. Data dictionaries. Cleaning and standardising existing datasets.
3
Module 3: Security & Access Control
Data classification: public, internal, confidential, restricted. Role-based access control. Audit trails. Compliance basics for Omani organisations.
4
Module 4: Implementation & AI-Era Governance
Running a governance audit. Creating a governance policy document. Change management. Measuring effectiveness. What changes when AI systems consume your data.
Who Should Attend
Data managers, IT professionals, compliance officers, policy specialists, and department heads in government and private sector organisations in Oman.
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