What does the Data Governance and Management course cover?
Data Governance and Management is covered here in 10 modules: Introduction to Data Governance and Management: Developing a data governance strategy, Data Governance Frameworks and Models: COBIT framework for data governance, Data Management Processes: Data management lifecycle, Data creation and capture and 7 more.
How do you approach Data Governance and Management step by step?
The work is sequenced in 10 stages. It starts with Introduction to Data Governance and Management: Developing a data governance strategy, moves through Data Governance Frameworks and Models: COBIT framework for data governance and Data Management Processes: Data management lifecycle, Data creation and capture, and ends at Data Governance Case Studies and Best Practices: Data governance lessons learned.
What is in Module 1 of the Data Governance and Management course?
Module 1 is Introduction to Data Governance and Management: Developing a data governance strategy. It works through defining data governance and management, understanding the importance of data governance and management, identifying the key components of a data governance framework and 1 more. It sets the vocabulary the remaining 9 modules build on.
How is the Data Governance and Management course delivered?
The Data Governance and Management course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Data Governance and Management course cost?
The Data Governance and Management course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Data Management and Data Governance Self-Assessment, Governance, Risk, and Compliance (GRC) Fundamentals, Data Management and Data Governance Self Assessment, The Data Scientist's Course on Building a Self-Assessment.
More answers: what you get with every course, refund policy, all help answers.
Mastering Data Governance and Management: A Comprehensive Self-Assessment and Implementation Toolkit
Course Overview
This comprehensive course provides a detailed understanding of data governance and management, enabling participants to develop a robust framework for data management within their organization. Upon completion, participants will receive a certificate issued by The Art of Service.Course Features
- Interactive and engaging learning experience
- Comprehensive and up-to-date content
- Personalized learning approach
- Practical and real-world applications
- High-quality content developed by expert instructors
- Certificate issued by The Art of Service upon completion
- Flexible learning options
- User-friendly and mobile-accessible platform
- Community-driven learning environment
- Actionable insights and hands-on projects
- Bite-sized lessons for easy learning
- Lifetime access to course materials
- Gamification and progress tracking features
Course Outline
Module 1. Introduction to Data Governance and Management: Developing a data governance strategy
- Defining data governance and management
- Understanding the importance of data governance and management
- Identifying the key components of a data governance framework
- Developing a data governance strategy
Module 2. Data Governance Frameworks and Models: COBIT framework for data governance
- Overview of data governance frameworks and models
- COBIT framework for data governance
- ISO 27001 framework for data governance
- Data Governance Institute (DGI) framework
- Customizing a data governance framework for your organization
Module 3. Data Management Processes: Data management lifecycle, Data creation and capture
- Data management lifecycle
- Data creation and capture
- Data storage and retrieval
- Data processing and analysis
- Data dissemination and reporting
- Data archiving and disposal
Module 4. Data Quality and Integrity: Understanding the importance of, Identifying data quality issues
- Defining data quality and integrity
- Understanding the importance of data quality and integrity
- Identifying data quality issues
- Developing a data quality strategy
- Implementing data quality controls
- Monitoring and reporting data quality metrics
Module 5. Data Security and Compliance: Developing a data security strategy
- Overview of data security and compliance
- Identifying data security threats and risks
- Developing a data security strategy
- Implementing data security controls
- Ensuring compliance with data protection regulations
- Monitoring and reporting data security metrics
Module 6. Data Governance Roles and Responsibilities: Identifying data governance stakeholders
- Defining data governance roles and responsibilities
- Identifying data governance stakeholders
- Developing a data governance organizational structure
- Establishing data governance policies and procedures
- Providing data governance training and awareness
Module 7. Data Governance Metrics and Monitoring: Defining data governance metrics
- Defining data governance metrics
- Identifying key performance indicators (KPIs)
- Developing a data governance dashboard
- Monitoring and reporting data governance metrics
- Using data governance metrics to drive business decisions
Module 8. Data Governance Implementation and Sustainability: Ensuring data governance sustainability
- Developing a data governance implementation plan
- Establishing a data governance program office
- Implementing data governance policies and procedures
- Providing ongoing data governance support and maintenance
- Ensuring data governance sustainability
Module 9. Data Governance Maturity Assessment: Identifying areas for improvement
- Understanding data governance maturity models
- Assessing data governance maturity
- Identifying areas for improvement
- Developing a data governance maturity roadmap
- Implementing data governance maturity improvements
Module 10. Data Governance Case Studies and Best Practices: Data governance lessons learned
- Real-world data governance case studies
- Data governance best practices
- Data governance lessons learned
- Data governance success stories
- Data governance challenges and solutions