BI Data Governance & Compliance Training Course

This course equips participants with the knowledge and practical skills required to design, implement, and manage Business Intelligence (BI) data governance and compliance frameworks. It focuses on data governance structures, data quality management, regulatory compliance, data privacy, metadata management, master data management, and BI reporting standards. Participants will learn how to ensure data integrity, security, and regulatory compliance while enabling effective decision-making through trusted business intelligence systems.

Target Groups

• Data governance officers
• Business intelligence (BI) analysts and developers
• Data analysts and data engineers
• IT managers and database administrators
• Compliance and risk management officers
• Monitoring, evaluation, accountability and learning (MEAL) teams
• Government data and statistics officers
• Corporate reporting and strategy teams
• Audit and internal control officers

Course Objectives

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

• Understand core principles of BI data governance frameworks
• Design and implement data governance structures and policies
• Ensure data quality, consistency, and reliability in BI systems
• Apply data privacy and regulatory compliance requirements
• Manage metadata and master data in BI environments
• Strengthen data security and access control systems
• Develop BI reporting standards and governance rules
• Support auditability and traceability of data systems
• Align BI governance with organizational strategy
• Improve decision-making through trusted and compliant data

Course Modules

Module 1: Introduction to BI Data Governance

• Concept of data governance in business intelligence
• Importance of governance in decision-making systems
• Key components of governance frameworks
• Roles and responsibilities in data governance
• Overview of BI ecosystems

Module 2: Data Governance Frameworks and Structures

• Governance models and organizational structures
• Data stewardship and ownership roles
• Policy development and enforcement mechanisms
• Governance committees and decision structures
• Alignment with organizational strategy

Module 3: Data Quality Management in BI Systems

• Data quality dimensions (accuracy, completeness, consistency)
• Data validation and cleansing processes
• Quality monitoring and reporting systems
• Root cause analysis of data issues
• Continuous data quality improvement

Module 4: Data Privacy and Regulatory Compliance

• Data protection principles and regulations
• Personal data handling and privacy safeguards
• Compliance requirements in BI systems
• Cross-border data governance considerations
• Risk management in data compliance

Module 5: Metadata and Master Data Management

• Metadata concepts and importance
• Master data management (MDM) systems
• Data lineage and traceability
• Standardization of data definitions
• Data cataloging and documentation

Module 6: BI Reporting Standards and Controls

• Standardization of BI reports and dashboards
• Data visualization governance rules
• KPI definition and consistency
• Reporting accuracy and validation
• Change control in BI reporting

Module 7: Data Security and Access Management

• Role-based access control systems
• Data encryption and protection methods
• Security policies in BI environments
• Risk assessment and mitigation strategies
• Incident detection and response

Module 8: Data Lifecycle Management

• Data creation, storage, and archiving processes
• Data retention policies
• Data deletion and disposal standards
• Archival systems and compliance requirements
• Lifecycle governance in BI systems

Module 9: Audit, Risk, and Compliance Monitoring

• Internal and external data audits
• Compliance monitoring frameworks
• Risk identification in data systems
• Control testing and reporting
• Governance performance measurement

Module 10: Capstone Project and Case Studies

• Designing a BI data governance framework
• Case studies of governance failures and successes
• Simulation: data compliance audit exercise
• BI dashboard governance design project
• Emerging trends: AI-driven data governance, automated compliance monitoring, real-time data quality engines, blockchain-based audit trails, and intelligent metadata management systems