Data Governance Training in Marina Bay, Singapore

This course introduces the principles, frameworks, and best practices of Data Governance. Participants will learn how to establish policies, roles, responsibilities, and processes to ensure data is accurate, secure, consistent, and effectively managed across the enterprise. The course emphasizes the importance of compliance, data quality, stewardship, and accountability for supporting business goals.

Foundations of Data Governance

• Introduction to Data Governance

• Importance of Data Governance in Organizations

• Core Components: People, Processes, Technology, Policies

• Data Governance vs Data Management

• Frameworks and Industry Standards

Governance Frameworks and Roles

• Establishing a Governance Framework

• Data Governance Operating Models (Centralized, Decentralized, Hybrid)

• Roles & Responsibilities (Data Owners, Stewards, Custodians)

• Building Data Governance Committees and Councils

Policies, Standards & Data Quality

• Designing Policies and Standards for Data Usage

• Data Quality Dimensions (Accuracy, Completeness, Consistency, Timeliness)

• Tools & Techniques for Data Quality Management

• Data Lineage and Metadata Management

Risk, Security, and Compliance

• Regulatory Compliance (GDPR, CCPA, HIPAA, etc.)

• Data Privacy and Ethical Considerations

• Risk Identification and Mitigation Strategies

• Security Controls in Data Governance

Implementation and Monitoring

• Governance Maturity Models and Assessments

• Steps for Implementing Data Governance in an Organization

• Monitoring, Measuring & Reporting Governance Effectiveness

• Change Management & Continuous Improvement

• Case Studies & Real-World Applications

Hands-on Exercises

Summary and Conclusion