I. Comprehensive Training Covering All DMBOK Knowledge Areas
Objective: To provide a comprehensive understanding of data management through a concise overview of all DMBOK knowledge areas.
Duration: Three sessions × 2.5 hours
Training Content
The course covers the 14 core DMBOK knowledge areas:
- Data Management Fundamentals
- Data Governance
- Data Architecture
- Data Modeling and Design
- Data Storage and Operations
- Data Security
- Data Integration
- Document and Content Management
- Reference and Master Data Management
- Data Warehousing and Business Intelligence
- Metadata Management
- Data Quality Management
- Big Data and Data Analytics
- Data Management Organization and Roles
Learning Outcomes
1. Develop a comprehensive understanding of data management
Participants will understand DAMA’s DMBOK framework, the fundamental principles of data management, and how its knowledge areas are interconnected.
2. Understand and assess an organization’s data management environment
Participants will be able to evaluate and understand, at a high level, the current state of an organization’s data architecture, governance, quality, and integration.
3. Understand the importance of data governance and gain foundational implementation knowledge
Participants will develop an understanding of data governance, data stewardship, and the implementation of policies and standards.
4. Understand the importance of data quality, metadata, and master data management
Participants will learn methods for improving data quality and defining and managing data effectively.
5. Understand how to support data-driven decision-making
Participants will understand the roles of data warehouses, business intelligence, and analytics, as well as how they create value for organizations.
6. Build a foundation for advancing data management within an organization
Participants will understand data management strategies, organizational structures, roles, and responsibilities, enabling them to identify the first steps toward organization-wide implementation.
II. Specialized DMBOK Training (In-Depth Study of a Specific Knowledge Area)
Objective: To explore a specific DMBOK knowledge area in depth.
Duration: 2.5 hours per knowledge area
Available Training Topics—DMBOK Knowledge Areas:
- Data Management Fundamentals
- Data Governance
- Data Architecture
- Data Modeling and Design
- Data Storage and Operations
- Data Security
- Data Integration
- Document and Content Management
- Reference and Master Data Management
- Data Warehousing and Business Intelligence
- Metadata Management
- Data Quality Management
- Big Data and Data Analytics
- Data Management Organization and Roles
Learning Outcomes
1. Develop an in-depth understanding of the selected data management area
Participants will systematically learn the core concepts, principles, and international best practices associated with the selected DMBOK knowledge area.
2. Learn how to implement it within an organization
Participants will understand how to develop organizational policies, processes, and standards related to the selected knowledge area.
3. Develop practical implementation skills
Through case studies and workshops, participants will learn how to apply the selected knowledge area in real-world situations.
4. Learn to diagnose data management challenges
Participants will be able to assess an organization’s data environment, identify key challenges, and determine opportunities for improvement.
5. Develop initiatives to improve organizational data management
Participants will gain the foundational knowledge needed to develop improvement proposals and plans in areas such as data governance, data quality, and metadata management.