Mastering Data Governance: A Step-by-Step Self-Assessment and Implementation Guide
Course Overview This comprehensive course is designed to provide participants with a thorough understanding of data governance, its importance, and its implementation in organizations. Through interactive lessons, hands-on projects, and real-world applications, participants will gain the knowledge and skills necessary to develop and implement a data governance framework that meets their organization's needs.
Course Objectives - Understand the concept of data governance and its importance in organizations
- Develop a data governance framework that meets organizational needs
- Conduct a self-assessment of current data governance practices
- Implement a data governance plan that ensures data quality, security, and compliance
- Establish data governance roles and responsibilities
- Develop data governance policies and procedures
- Monitor and evaluate data governance effectiveness
Course Outline Module 1: Introduction to Data Governance
- Defining data governance
- Understanding the importance of data governance
- Overview of data governance frameworks
- Benefits of data governance
Module 2: Data Governance Frameworks
- COBIT framework
- ISO/IEC 38500 framework
- NIST Cybersecurity Framework
- Customizing a data governance framework
Module 3: Data Governance Roles and Responsibilities
- Data governance council
- Data governance officer
- Data steward
- Data custodian
- Establishing data governance roles and responsibilities
Module 4: Data Governance Policies and Procedures
- Developing data governance policies
- Establishing data governance procedures
- Data classification and categorization
- Data access and control
Module 5: Data Governance Implementation
- Conducting a data governance self-assessment
- Developing a data governance plan
- Implementing data governance policies and procedures
- Establishing data governance metrics and monitoring
Module 6: Data Governance and Compliance
- Understanding compliance requirements
- Data governance and GDPR
- Data governance and HIPAA
- Data governance and PCI-DSS
Module 7: Data Governance and Data Quality
- Understanding data quality
- Data quality metrics
- Data quality improvement
- Data governance and data quality
Module 8: Data Governance and Data Security
- Understanding data security
- Data security metrics
- Data security improvement
- Data governance and data security
Module 9: Monitoring and Evaluating Data Governance
- Establishing data governance metrics
- Monitoring data governance effectiveness
- Evaluating data governance effectiveness
- Continuous improvement of data governance
Module 10: Case Studies and Best Practices
- Real-world case studies of data governance implementation
- Best practices for data governance
- Lessons learned from data governance implementation
Certificate of Completion Upon completing this course, participants will receive a Certificate of Completion issued by The Art of Service. This certificate will demonstrate the participant's knowledge and understanding of data governance and their ability to implement a data governance framework in their organization.
Course Features - Interactive lessons and hands-on projects
- Real-world applications and case studies
- Expert instructors with industry experience
- Flexible learning and user-friendly interface
- Mobile-accessible and community-driven
- Actionable insights and bite-sized lessons
- Lifetime access to course materials
- Gamification and progress tracking
Course Format This course is delivered online and consists of 10 modules, each with interactive lessons, hands-on projects, and real-world applications. Participants will have lifetime access to course materials and can complete the course at their own pace.,
- Understand the concept of data governance and its importance in organizations
- Develop a data governance framework that meets organizational needs
- Conduct a self-assessment of current data governance practices
- Implement a data governance plan that ensures data quality, security, and compliance
- Establish data governance roles and responsibilities
- Develop data governance policies and procedures
- Monitor and evaluate data governance effectiveness