Educonnhub

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.

Join Mastering Data Governance and build a comprehensive understanding of best practices for effective data management to advance your career and enhance your organization’s data capabilities.