course
Certified Data Management Professional (CDMP): Data Fundamentals
Manage data as an asset to create value from it
Description
Our digital world is becoming increasingly complex and data-driven: our processes run on data, we need reports and dashboards to manage the company, and our AI systems are powered by data as well. Organizations increasingly realize that data is the new water: it flows between processes and systems, and is crucial for survival. If we want to use data for value creation, then we need to manage data as an asset. This three-day course prepares for the DAMA CDMP – Data Fundamentals exam. We cover all knowledge areas in turn, and discuss the theory in the DMBOK, practical examples, and practice questions for the exam. The balance between theory and practice is about 70%/30%. The course prepares for, but does not include, the exam.
Audience Profile
This course is intended for professionals who work with, manage, or govern data and want a solid foundation in data management. Learners should have a few years of experience in business, IT, or the space in between, and an affinity with data-related topics.
Certification
This course prepares you for the DAMA CDMP – Data Fundamentals exam, the entry-level certification of the Certified Data Management Program. The exam itself is not included in the course.
Learning Goals
 Understand the key terminology of DAMA around data and data management. | Understand  |
| Understand the main structure of the DMBOK "wheel" and its functional areas. | Understand |
| Apply the framework in your organizational context. | Apply  |
| Create a plan for working on data management in your own organization. | Create  |
| Explain the value of managing data as an asset in order to get value from this asset. | Understand |
Prior Knowledge
- Basic understanding of the interplay between processes, data, systems, and technology.
- A few years of experience in business, IT, or in between.
- Affinity with data-related topics.
Subjects
- Data management as a means to an end
- The data life cycle and data governance
- The DMBOK knowledge areas
- Practical application and exam preparation
1: Data management as a means to an end
Understand why organizations manage data as an asset, and how doing so enables value creation — comparable to managing financial assets to get value from them.
Lessons
- Data as an asset: managing data to get value from it
- Key terminology of DAMA around data and data management
- The DAMA DMBOK as the international standard for data management
2: The data life cycle and data governance
Explore the data life cycle in relation to data management, and the central role of data governance across all activities.
Lessons
- Plan & design
- Enable & maintain
- Use & enhance
- Data governance as the coordinating function
3: The DMBOK knowledge areas
Work through the structure of the DMBOK "wheel" and its functional areas, covering theory and practical examples for each knowledge area.
Lessons
- Data governance
- Data architecture
- Data modeling and design
- Data storage and operations
- Data security
- Data integration and interoperability
- Document and content management
- Reference and master data
- Data warehousing and business intelligence
- Metadata management
- Data quality management
- Data handling ethics
- Big data and data science
4: Practical application and exam preparation
Apply the framework in your own organizational context and prepare for the exam through real-world examples, group discussions, and practice questions.
Lessons
- Applying the framework in your organizational context
- Building a plan for data management in your own organization
- Practical, real-world examples and group discussions
Schedule
All courses can also be conducted within your organization as customized or incompany training.
Our training advisors are happy to help you provide personal advice or find Incompany training within your organization.
"The instructor was clearly very experienced and had a lot of knowledge about the subject."Mika
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