Data Governance Mastery: Best Practices for Data Management

What You’ll Learn

• Data Governance Foundations: Key principles and importance of Data Governance, Explore Data Governance Frameworks like DAMA, DCAM, CMMI, IBM, Sandford, and Gartner.
• Data Governance Implementation: Approach to implementing Data Governance goals, activities, and deliverables, Learn to create and manage a Data Governance Operating Model with roles, responsibilities, and structure.
• Tools and Techniques for Data Governance: Overview of Data Governance tools like business and data glossaries. Hands-on IBM Governance Catalog demo.
• Data Quality Management: Techniques for understanding, measuring, and implementing Data Quality Management.
• Governance for Compliance and Security: Regulatory compliance overview, including GDPR and data privacy best practices. Core principles of data security and data protection.
• Emerging Trends in Data Governance: Future trends, including AI and automation in Data Governance. Understanding Data Governance in cloud environments.
• Real-World Case Studies: Analysis of real-world data governance cases and practical implementation examples.

Requirements

• Basic Data Concepts: Foundational knowledge of data management concepts.

Course Overview

        This course will guide you through the essentials of Data Governance — from the basics to advanced frameworks, tools, and practices. Learn how effective data governance ensures data quality, security, and compliance with regulatory requirements. Through practical examples and real-world case studies, discover how data governance transforms data management and supports organizational goals.

Course Outline

• Unit 1: Introduction to Data Governance – Understand its purpose, significance, and common challenges.
• Unit 2: Data Governance Frameworks – Explore frameworks like DAMA, DCAM, CMMI, IBM, and more.
• Unit 3: Data Governance Implementation – Define goals, drivers, and deliverables for effective implementation.
• Unit 4: Data Governance Operating Models – Develop operating models with clear roles and responsibilities.
• Unit 5: Data Governance Tools & Techniques – Learn tools like IBM Governance Catalog and business glossaries.
• Unit 6: Data Quality Management – Implement data quality measures and strategies.
• Unit 7: Data Governance for Compliance – Cover regulatory compliance essentials, GDPR, and security principles.
• Unit 8: Future of Data Governance – Embrace emerging practices with AI, automation, and cloud.
• Unit 9: Case Studies – Real-world applications of data governance.

Who This Course Is For

• Chief Data Officers & Data Managers: Strengthen governance capabilities.
• Data Professionals & Data Governance Teams: Enhance data quality and compliance skills.
• Business & IT Managers: Gain insights into data governance’s role in data-driven decisions.
• Data Quality Analysts & Stewards: Learn to implement and manage data governance practices effectively.