Data Governance Course: Best Practices For Data Management

The "Mastering Data Governance: Best Practices for Effective Data Management" course is designed to equip learners with the knowledge and skills required to implement and manage effective data governance practices within an organization. Data governance is a critical component of modern data management, ensuring data quality, security, and compliance with regulatory requirements. This course covers a wide range of topics, from the fundamentals of data governance to advanced practices and emerging trends.

Course Outline:

Unit 1: Introduction to Data Governance

• What Is Data Governance?
• Why Is Data Governance Important?
• Why does Data Governance often fall short of expectations?

Unit 2: Introduction to Data Governance Framework

• The Data Governance Framework: DAMA, DCAM, CMMI, IBM, Sandford, Gartner

Unit 3: Comprehensive Data Governance

• Data Governance Implementation Approach
• Data Governance Goals, Business Drivers, Activities, Deliverables

Unit 4: Data Governance Operating Model

• Data Governance Operating Model Type
• Centralized Data Governance Operating Model: Real Example
• Structure
• Roles & Responsibilities
• Rights & Duties
• Of Data Committee and Members

Unit 5: Data Governance Tools and Techniques

• Data Governance Tools
• Business & Data Glossary Catalog
• Demo – Business Glossary with IBM Governance Catalog

Unit 6: Data Quality Management

• Understanding Data Quality
• Measuring Data Quality
• Data Quality Implementation Approach

Unit 7: Data Governance Implementation

• Data Governance Implementation Guidelines
• Data Governance Metrics
• Data Governance Roadmap
• Data Governance Change Management

Unit 8: Data Governance and Compliance

• Data Governance and Regulatory Compliance
• GDPR and Data Governance
• Data Privacy Best Practices
• Data Security Core Principles

Unit 9: Future Trends in Data Governance

• Evolving Data Governance Practices
• The Role of AI and Automation
• Data Governance in a Cloud Environment