Data Governance Fundamentals

Description:

Data Governance is essential for organizations to ensure data accuracy, compliance, and effective decision-making. This one-day training on Data Governance is designed to provide participants with a comprehensive understanding of the principles, best practices, and tools necessary for implementing robust data governance within their organizations. Through a combination of lectures, case studies, and hands-on exercises, participants will gain the knowledge and skills needed to establish and maintain effective data governance frameworks.

Duration: 1 Day

Course Code: BDT311

Learning Objectives:

• Understand the importance of data governance in modern organizations.
• Define key data governance terms and concepts.
• Explore real-world case studies of successful data governance implementations.
• Explore best practices for creating data governance policies and procedures.
• Discuss emerging trends and future challenges in data governance.

• Participants should have a basic understanding of data concepts and some familiarity with data management processes. No advanced technical skills are required, but a general understanding of data in organizational contexts is beneficial.

This course is suitable for professionals in various roles within organizations, including:

• Data Analysts
• Data Scientists
• Business Analysts
• Information Technology (IT) Managers
• Compliance Officers
• Anyone interested in understanding and implementing data governance practices

This course is suitable for professionals in various roles within organizations, including:

• Data Analysts
• Data Scientists
• Business Analysts
• Information Technology (IT) Managers
• Compliance Officers
• Anyone interested in understanding and implementing data governance practices

Course Outline:

Session 1: Introduction to Data Governance

• Definition of data governance
• Importance in modern organizations
• Key concepts and terminology
• Benefits of effective data governance
• Common challenges and misconceptions
• Defining data governance roles (Data Stewards, Data Owners, etc.)
• Clarifying responsibilities and accountabilities
• Building cross-functional teams

Session 2: Data Governance Policies and Procedures

• Developing data governance policies
• Phases and milestones
• Planning for governance implementation
• Data quality assessment techniques
• Remediation strategies
• Importance of data classification
• Data lineage and metadata
• Introduction to data catalogs

Session 3: Data Security and Privacy

• Data security best practices
• Privacy considerations (GDPR, CCPA, etc.)
• Role of data governance in compliance
• Designing governance workflows

Session 4: Monitoring and Evolving Data Governance

• Key performance indicators (KPIs) for data governance
• Metrics for success
• Dashboards and reporting
• Conducting a data governance audit
• Keeping data governance up-to-date
• Emerging trends in data governance

Training Material Provided: Yes (Digital Format)