Geo-ICT’s DAMA Data Management Course provides a solid foundation in modern data practices and prepares you for the globally recognized CDMP certification. Covering all disciplines from the DAMA Body of Knowledge (DMBOK2), the course includes the official book and exam access (taken separately in a classroom setting). You’ll also explore Dutch base registries like BAG, BGT, and WOZ, and examine how to achieve cohesive object registration (SOR) in practice.
DAMA Data Management
Data ManagementData Management
DAMA Data Management
This DAMA Data Management Course is CDMP-certified and includes both the official DAMA DMBOK2 book and access to the certification exam. Although the two-hour CDMP exam is not taken during the course itself, participants can register for regularly scheduled classroom sessions to complete it.
In today’s data-driven economy, knowing how to manage, organize, and protect information is more important than ever. The volume and complexity of data that organizations handle each day continues to grow. As a result, it becomes harder to maintain quality, ensure security, and extract meaningful insights. That’s where data management comes in. It’s the discipline that defines how data is collected, stored, shared, and used across an organization — supporting better decisions, faster responses, and stronger outcomes.
When done right, data management becomes the backbone of everything from innovation and customer experience to compliance and strategic planning. At the heart of this field is the DAMA DMBOK2 framework — a global standard outlining key principles and best practices for managing data as a strategic asset. It covers areas such as data governance, architecture, modeling, integration, quality, and security.
As more organizations move to cloud platforms, adopt automation, and expand into AI and big data, professionals need more than just technical tools. In fact, they need the ability to manage data securely, ethically, and efficiently. This course provides that foundation, equipping you with the skills and confidence to apply best practices and prepare for CDMP certification.
What will you learn
This course guides you through all the essential knowledge areas of the DAMA DMBOK2 framework. It combines practical application with a strong theoretical foundation. You’ll learn how to apply the framework to real-world scenarios, design and evaluate data architecture, and implement effective practices for governance, security, and compliance.
In addition, you’ll gain hands-on experience managing data integration, improving data quality, and using metadata effectively. These lessons are rooted in real-world examples — particularly from geo-information environments — so you’ll see how structured data management works in spatial systems as well. By the end, you’ll understand how structured data supports everything from analytics and business intelligence to document control and master data management. Naturally, you’ll also be well-prepared to pass the CDMP exam with confidence.
Why choose this course
At Geo-ICT, we believe training should be practical, relevant, and career-focused. That’s why this course is built for professionals who want to apply what they learn immediately — and grow their impact in the workplace.
Key benefits include:
- Comprehensive content based on the latest DAMA DMBOK2 standard
- CDMP exam preparation, with the official book and exam bundled into the course
- Real-world examples grounded in geospatial and registry data (e.g., BAG, BGT, WOZ)
- A flexible structure supporting both newcomers and experienced professionals seeking certification
All in all, this course helps you turn theory into action — and your knowledge into certification-ready expertise.
Course structure
Day 1
You’ll start with the basics of the DAMA framework and why it matters. Together, we’ll explore how data management drives success across all types of organizations. Then, we’ll dive into key topics like ethics, governance, architecture, modeling, and operations. We’ll also touch on how to protect your data through solid security practices.
Chapters covered:
- Chapter 1: Data management
- Chapter 2: Data handling ethics
- Chapter 3: Data governance
- Chapter 4: Data architecture
- Chapter 5: Data modeling
- Chapter 6: Data operations
- Chapter 7: Data security
Day 2
The second day takes you deeper. First, you’ll look at how to bring together data from different systems, manage reference and master data, and organize unstructured content. In addition, we’ll explore how metadata supports better understanding. Then, we’ll examine how business intelligence and data warehousing drive insight. Finally, you’ll wrap up the day with an overview of big data and data science — followed by a practice exam to help you prepare for the CDMP.
Chapters covered:
- Chapter 8: Data integration
- Chapter 9: Document and content management
- Chapter 10: Reference and master data
- Chapter 11: Data warehousing and business intelligence
- Chapter 12: Metadata management
- Chapter 13: Data quality
- Chapter 14: Big data and data science
Learning Outcomes
- A clear understanding of the DAMA DMBOK2 framework and its core knowledge areas
- The ability to apply governance, architecture, and modeling in real-world settings
- Skills to manage data integration, storage, security, and quality
- Confidence to pass the CDMP exam and earn certification
- Practical insights to support strategic decision-making and long-term data planning
More Information?
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
Frequently Asked Questions about DAMA Data Management
DAMA Data Management refers to a set of best practices and principles outlined by DAMA International, a leading global association for data management professionals. These practices are encapsulated in the DAMA Data Management Body of Knowledge (DAMA DMBOK), which provides a comprehensive framework for managing data as a valuable organizational asset. It covers key disciplines such as data governance, data architecture, data quality, data integration, and data security, guiding organizations in developing and maintaining effective data management strategies to enhance decision-making, operational efficiency, and regulatory compliance.
Data management is crucial because it ensures that data is collected, stored, organized, and maintained in a way that supports reliable decision-making, operational efficiency, and regulatory compliance. Effective data management enhances data quality, security, and accessibility, enabling organizations to leverage accurate and up-to-date information. In the context of AI, especially Geo AI (which integrates geographic data), good data management is essential for feeding AI models with clean, well-structured, and geospatially referenced data. Without strong data governance and management practices, AI systems cannot generate accurate insights, leading to poor performance and unreliable predictions. Therefore, robust data management is the foundation that makes AI initiatives, including Geo AI, viable and successful.
The Certified Data Management Professional (CDMP) certification is a globally recognized credential awarded by DAMA International, aimed at data management professionals. It validates an individual’s knowledge and expertise in the core principles of data management, as outlined in the DAMA Data Management Body of Knowledge (DMBOK) framework. The certification covers key areas such as data governance, data quality, data architecture, and data modeling, among others. CDMP certification helps professionals demonstrate their competency in managing data as a valuable asset, enhancing their credibility in the field and improving their career prospects in data-driven roles.