Upon completion of this course, participants will be able to:

• Define the core components of a comprehensive data governance framework.
• Establish clear roles, responsibilities, and accountability for data assets (Data Owners, Stewards).
• Develop and implement data quality standards and validation rules.
• Design and manage a Data Dictionary and Business Glossary.
• Ensure IT systems and processes comply with data privacy regulations (e.g., GDPR, CCPA).
• Develop data security policies (e.g., encryption, access controls) in line with governance needs.
• Select and implement data governance tools and platforms.
• Measure and report on the effectiveness and compliance of the data governance program.

• IT Directors and Department Heads
• IT Compliance and Risk Managers
• Database Administrators (DBAs) and Data Architects
• Business Relationship Managers (BRMs)
• Data Stewards and Data Quality Analysts
• Professionals involved in regulatory compliance projects

• Group activities to define Data Owner and Data Steward responsibilities for a domain.
• Case studies focusing on data breach prevention through governance.
• Workshops on developing data quality rules for a key business metric.
• Discussions on technical challenges in implementing GDPR/CCPA requirements.
• Individual exercises in drafting a data retention policy.

Unit 1: Data Governance Fundamentals

• The strategic importance of data as a business asset.
• The relationship between Data Governance, Data Management, and IT Governance.
• Key drivers for DG: regulatory compliance, risk reduction, business insight.
• The cost and risk of poor data quality and lack of governance.

• Defining the data domains and the scope of the DG program.
• Choosing a governance model (centralized, decentralized, federated).
• Establishing the Data Governance Office (DGO) and its mandate.
• Gaining executive sponsorship and buy-in.

Unit 2: Roles, Responsibilities, and Data Quality

• Defining the responsibilities of Data Owners, Data Stewards, and Data Custodians (IT).
• Establishing the Data Governance Council and its operational charter.
• Facilitating collaboration between business stakeholders and IT.
• Measuring the performance and effectiveness of governance roles.

• Defining data quality dimensions (accuracy, completeness, consistency, timeliness).
• Developing and documenting data quality standards and rules.
• Implementing data quality monitoring and measurement tools.
• Strategies for identifying, cleaning, and preventing data quality issues.

Unit 3: Data Architecture and Documentation

• Mapping data flows and data lineage across enterprise systems.
• The role of IT architecture in supporting governance requirements.
• Managing master data (MDM) and reference data.
• Strategies for data integration and harmonization.

• Creating and managing a Business Glossary and Data Dictionary.
• Implementing a metadata management strategy.
• Automating metadata capture from IT systems.
• Ensuring metadata consistency across systems.

Unit 4: Regulatory Compliance and Data Privacy

• Overview of major privacy laws (e.g., GDPR, CCPA, HIPAA).
• The role of IT in implementing privacy by design.
• Managing consent, data access requests, and data subject rights.
• Data retention and disposition policies and enforcement.

• Aligning data security controls with governance policies.
• Implementing data encryption and access controls (Row-Level Security).
• Managing privileged access to sensitive data stores.
• Auditing and monitoring data access for compliance.

Unit 5: Implementation and Measurement

• Evaluating and selecting data governance platforms (data catalogs, quality tools).
• Technical implementation of data masking and pseudonymization.
• Integrating governance tools with data warehouses and BI platforms.
• Developing a phased implementation roadmap.

• Defining key performance indicators (KPIs) for the DG program.
• Measuring improvements in data quality and compliance rates.
• Reporting governance status to the Data Governance Council and executives.
• Continuous improvement and adapting the framework to new regulations.