Data Governance & Compliance Training Course

This course provides participants with the knowledge and practical skills required to design, implement, and manage effective data governance frameworks while ensuring compliance with regulatory and organizational requirements. It emphasizes policies, procedures, and tools that ensure data integrity, security, availability, and regulatory alignment, enabling organizations to use data as a trusted and strategic asset.

Target Groups

• Data governance officers and managers
• Compliance and risk management professionals
• IT and data security specialists
• Business and data analysts
• Data stewards and custodians
• Auditors and regulators
• Senior managers and decision-makers overseeing data strategy

Course Objectives

By the end of this course, participants will be able to:

• Understand the principles and importance of data governance.
• Develop and implement a data governance framework.
• Ensure compliance with data-related laws and regulations (GDPR, HIPAA, CCPA, etc.).
• Establish clear data ownership, stewardship, and accountability.
• Implement policies for data quality, security, and privacy.
• Monitor and enforce compliance with data governance policies.
• Align data governance with corporate strategy and risk management.
• Design data governance programs that adapt to emerging technologies and threats.

Course Modules

Module 1: Introduction to Data Governance

• Defining data governance and compliance
• Business value of effective governance
• Principles of accountability and transparency
• Data as a strategic enterprise asset

Module 2: Data Governance Frameworks

• Components of a governance framework
• Data governance operating models (centralized, federated, hybrid)
• Roles and responsibilities: data owners, stewards, custodians
• Establishing governance policies and standards

Module 3: Regulatory Compliance & Legal Considerations

• Overview of major data compliance regulations (GDPR, HIPAA, CCPA, etc.)
• Cross-border data transfer rules
• Industry-specific compliance requirements (finance, healthcare, public sector)
• Legal consequences of non-compliance

Module 4: Data Quality & Integrity Management

• Data accuracy, consistency, and completeness
• Data lineage and traceability
• Establishing data quality metrics and KPIs
• Continuous monitoring of data quality

Module 5: Data Security, Privacy & Risk Management

• Principles of data privacy and confidentiality
• Cybersecurity integration with governance
• Risk assessment and mitigation strategies
• Access control and identity management

Module 6: Policies, Standards & Procedures

• Developing governance policies and standards
• Metadata management and classification
• Data lifecycle management (creation, storage, archival, disposal)
• Aligning policies with business and compliance goals

Module 7: Technology & Tools for Data Governance

• Data governance platforms and solutions (Collibra, Informatica, Alation)
• Compliance automation tools
• Data cataloging and metadata management tools
• Integrating governance with analytics and BI tools

Module 8: Implementing a Governance Program

• Steps to establish a governance initiative
• Building a governance team and committees
• Change management and organizational adoption
• Common challenges and solutions in implementation

Module 9: Monitoring, Reporting & Continuous Improvement

• Measuring effectiveness of governance frameworks
• Compliance monitoring and audit readiness
• Reporting governance performance to stakeholders
• Evolving governance programs with emerging technologies (AI, cloud, blockchain)

Module 10: Case Studies & Practical Applications

• Real-world examples of governance success and failure
• Industry-specific case studies (banking, healthcare, government)
• Hands-on exercise: creating a governance and compliance roadmap
• Best practices and future trends in data governance