Introduction

In the digital era, data has become one of the most valuable assets for organizations. However, the rapid growth of data also presents significant challenges related to privacy, security, compliance, and risk management. Proper data governance ensures that data is managed, protected, and used ethically while adhering to regulatory requirements.

This Data Governance and Compliance Training Course provides a comprehensive understanding of data governance frameworks, regulatory compliance obligations, and best practices in data management. Participants will learn about data privacy laws (such as GDPR, CCPA), data security standards, data quality management, and the role of technology in automating data governance processes.

Course Objectives

By the end of this course, participants will be able to:
✔ Understand the principles of data governance and its importance in organizations.
✔ Navigate global data privacy and security regulations.
✔ Develop and implement effective data governance frameworks.
✔ Ensure data quality, integrity, and ethical usage across the organization.
✔ Manage data-related risks and compliance requirements.
✔ Leverage technology for data governance automation and monitoring.
✔ Anticipate emerging trends in data governance and regulatory compliance.

Who Should Attend?

This course is ideal for professionals responsible for data management, governance, and compliance, including:

• Data Governance Officers and Managers
• Compliance Officers and Legal Advisors
• Data Privacy and Protection Officers (DPOs)
• CIOs, CTOs, and IT Managers
• Risk Managers and Internal Auditors
• Data Analysts and Data Scientists
• Business Intelligence Professionals
• Regulatory Affairs and Policy Advisors

Day 1: Foundations of Data Governance

Session 1: Introduction to Data Governance

• What is Data Governance? Key concepts, principles, and importance.
• Components of a Data Governance Framework: Data policies, standards, roles, and responsibilities.
• Data Governance Maturity Models: Assessing organizational readiness.
• Benefits of Effective Data Governance: Compliance, risk management, and business value.
• Case Study: Implementing data governance in a global enterprise.

Session 2: Data Privacy and Security Regulations

• Overview of Major Data Privacy Laws: GDPR, CCPA, HIPAA, and more.
• Understanding Data Subject Rights: Consent, access, rectification, and erasure.
• Cross-Border Data Transfers and Regulatory Challenges.
• Data Security Standards: ISO 27001, NIST, and cybersecurity frameworks.
• Case Study: Compliance challenges under GDPR and CCPA.

Day 2: Data Governance Frameworks and Best Practices

Session 3: Developing a Data Governance Strategy

• Establishing Data Governance Policies and Procedures.
• Defining Data Roles and Responsibilities: Data stewards, custodians, and owners.
• Data Classification and Access Management: Managing sensitive and critical data.
• Data Lifecycle Management: Creation, storage, usage, and disposal.
• Case Study: Designing a data governance framework for a financial institution.

Session 4: Data Quality Management and Data Ethics

• Ensuring Data Accuracy, Consistency, and Completeness.
• Data Quality Metrics and KPIs: Monitoring and improving data quality.
• Data Ethics and Responsible Data Use: Balancing business needs with ethical considerations.
• Data Transparency and Accountability: Ensuring trust and compliance.
• Case Study: Addressing data quality issues in a large organization.

Day 3: Regulatory Compliance and Risk Management

Session 5: Data Compliance Risk Management

• Identifying and Assessing Data Risks: Privacy, security, and operational risks.
• Risk Mitigation Strategies: Implementing controls to address data risks.
• Compliance Audits and Assessments: Internal and external data governance audits.
• Incident Response and Breach Management: Handling data breaches and regulatory reporting.
• Case Study: Managing a data breach incident and regulatory response.

Session 6: Data Privacy Impact Assessments (DPIAs) and Data Protection by Design

• Conducting DPIAs: Identifying potential privacy risks in data processing.
• Data Protection by Design and Default: Integrating privacy into system development.
• Data Minimization and Anonymization Techniques.
• Compliance with Privacy by Design Requirements under GDPR.
• Case Study: Implementing DPIAs in a healthcare organization.

Day 4: Leveraging Technology for Data Governance

Session 7: Automating Data Governance with Technology

• Data Governance Tools and Platforms: Overview of leading solutions.
• Metadata Management and Data Catalogs: Enhancing data visibility and traceability.
• Data Lineage and Impact Analysis: Understanding data flows and dependencies.
• AI and Machine Learning in Data Governance: Automating data classification and policy enforcement.
• Case Study: Using technology to streamline data governance in a tech company.

Session 8: Data Security and Cyber Risk Management

• Cybersecurity Best Practices for Data Protection.
• Securing Data in Cloud Environments: Regulatory considerations for cloud storage.
• Data Encryption and Access Controls.
• Monitoring and Responding to Cyber Threats: Real-time data security monitoring.
• Case Study: Cyber risk management in a global enterprise.

Day 5: Future Trends in Data Governance and Compliance

Session 9: Emerging Trends in Data Governance

• Data Governance in the Age of Big Data and AI: Challenges and opportunities.
• Blockchain and Data Governance: Decentralized data management and compliance.
• Data Sovereignty and Localization: Impact of regional data laws.
• Evolving Privacy Regulations: Preparing for future changes in data laws.
• Case Study: Adapting data governance practices for emerging technologies.

Session 10: Building a Culture of Data Compliance and Ethics

• Training and Awareness Programs for Data Compliance.
• Promoting a Data-Driven Culture: Aligning business goals with data governance.
• Leadership and Data Governance: Role of executives in fostering compliance.
• Continuous Improvement in Data Governance: Measuring success and evolving practices.
• Final Exam and Certification: Knowledge assessment and certification awarding.