Data Governance & Compliance in Analytics Training Course

This course equips participants with the knowledge and skills to implement effective data governance and ensure compliance in analytics initiatives. It emphasizes policies, standards, and frameworks that maintain data quality, security, and regulatory adherence while enabling reliable business insights. Participants will learn to manage data assets responsibly, enforce governance processes, and mitigate risks associated with data use in analytics.

Target Groups

• Data governance officers and managers
• Compliance and risk management professionals
• Data analysts and business intelligence specialists
• IT and data management professionals
• Executives overseeing data-driven initiatives
• Students pursuing data management, analytics, or information systems

Course Objectives

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

• Understand the principles and importance of data governance.
• Implement policies and procedures to ensure data quality and security.
• Ensure compliance with data privacy regulations (GDPR, CCPA, HIPAA).
• Define roles and responsibilities in data management processes.
• Apply governance frameworks to analytics projects.
• Monitor and audit data usage for accountability and risk mitigation.
• Integrate governance and compliance into analytics workflows.
• Communicate governance and compliance requirements effectively.
• Mitigate risks associated with data misuse or breaches.
• Foster a culture of responsible and ethical data usage.

Course Modules

Module 1: Introduction to Data Governance & Compliance

• Definition and importance of data governance
• Key principles of data compliance
• Data governance frameworks overview
• Case studies of governance failures and successes

Module 2: Data Governance Frameworks & Standards

• DAMA-DMBOK and ISO standards
• Policies, processes, and best practices
• Roles and responsibilities in governance
• Aligning governance with organizational objectives

Module 3: Data Quality Management

• Ensuring accuracy, completeness, and consistency of data
• Data profiling and validation techniques
• Data cleansing and enrichment
• Monitoring and reporting data quality metrics

Module 4: Regulatory Compliance in Analytics

• GDPR, CCPA, HIPAA, and other regulations
• Ensuring legal and ethical use of data
• Compliance audits and reporting
• Data subject rights and privacy management

Module 5: Risk Management & Mitigation

• Identifying risks in data and analytics processes
• Implementing risk controls and policies
• Audit trails and monitoring mechanisms
• Case studies in risk mitigation

Module 6: Governance in Analytics Projects

• Integrating governance into analytics workflows
• Data lineage, metadata, and documentation
• Role of data stewards and owners
• Ensuring reproducibility and accountability

Module 7: Security & Access Management

• Data access control and authentication
• Encryption and secure data storage
• Managing sensitive and confidential information
• Incident response and breach management

Module 8: Tools & Technologies for Governance & Compliance

• Data governance platforms and software
• BI and analytics tool integration
• Monitoring and automation of compliance processes
• Emerging technologies in governance and security

Module 9: Culture, Ethics & Organizational Alignment

• Promoting a data governance culture
• Ethical considerations in data usage
• Training and awareness for employees
• Aligning governance with business strategy

Module 10: Capstone Project & Case Studies

• Real-world governance and compliance scenarios
• Group project: designing a governance framework for analytics
• Presenting compliance and governance insights to stakeholders
• Future trends in data governance and analytics compliance