CDMP Data Management Fundamentals (DMF) is a comprehensive course that provides knowledge, methods, and techniques required to analyse, mature and implement information management solutions. The course is designed with the aim of providing a solid grounding in various Data Management disciplines.
This course is designed for professionals interested in gaining a comprehensive understanding of different Information Management disciplines.
This course provides a solid foundation in Data Management fundamentals across various disciplines, preparing you for the CDMP Data Management Fundamentals exam. It offers practical application insights using real-world examples and provides a broad understanding of the core Information Management concepts. It covers key topics including Data Governance, Data Quality Management, Master and Reference Data Management, Business Intelligence, Data Warehousing, Data Modelling, and many more.
It’s ideal for Business Intelligence & Data Warehouse Developers & Architects, Data Modellers, Developers, Data Architects, Data Analysts, Enterprise Architects, Solution Architects, Application Architects, Information Architects, Business Analysts, Database Administrators, Project / Programme Managers, IT Consultants, Data Governance Managers, Data Quality Managers, and Information Quality Practitioners. This course also caters to those seeking professional recognition and certification, specifically the DAMA Certified Data Management Professional (CDMP).
There is no exam with this course, but once the course is complete, students will have the opportunity to take the CDMP examination. This must be booked independently. Details of the CDMP examinations, levels, and costs can be found at https://cdmp.info/.
- Introduction to Data Management, DMBoK & CDMP certification
- Data Governance: Understand its importance, principles, roles & responsibilities, operating models, and more.
- Data Quality Management: Learn about data quality facets, dimensions, and measures, and explore a workable Data Quality Framework.
- Master Reference Data Management: Learn about MDM architectures, their suitability, implementation approaches, and the essential relationship between Master Data Management, Data Quality, and Data Governance.
- Data Warehousing BI Management: Understand the concept, purpose, and architectures of Data Warehouses and Business Intelligence.
- Data Modelling: Discover different types of Data Models and their interrelations, and their use in Data Governance and Data Quality Management.
- Metadata Management: Learn about different types of Metadata, its sources, and its connection with Business Glossaries.
- Data Integration Interoperability: Understand the styles, applicability, and implications of Data Integration Interoperability.
- Data Architecture Data Lifecycle Management: Learn about proactive planning for data management across its entire lifecycle.
- Data Risk Management, Security, Privacy & Regulatory Compliance: Explore threat categories, defense mechanisms, and implications of security & privacy breaches.
- Data Operations Management: Understand the core roles, considerations, and good practices for data operations.
- Records Content Management: Learn about the importance and lifecycle of records management.
By the end of the course, delegates will have a well-rounded understanding of Information Management disciplines and will be well-prepared to apply this knowledge in their professional roles.
This course is designed for professionals interested in gaining a comprehensive understanding of different Information Management disciplines. It’s ideal for Business Intelligence & Data Warehouse Developers & Architects, Data Modellers, Developers, Data Architects, Data Analysts, Enterprise Architects, Solution Architects, Application Architects, Information Architects, Business Analysts, Database Administrators, Project / Programme Managers, IT Consultants, Data Governance Managers, Data Quality Managers, and Information Quality Practitioners. This course also caters to those seeking professional recognition and certification, specifically the DAMA Certified Data Management Professional (CDMP).
Senior Data & AI Governance Expert
Data & AI Governance Partners
Mathias Vercauteren is the founder and principal of DAIG Partners (Data & AI Governance Partners), a premium boutique advisory firm serving clients across Belgium, the Netherlands, Germany, Switzerland, the United Kingdom and the United States. He is the Global Project Manager for DAMA-DMBOK® 3.0 — the next edition of the most widely adopted body of knowledge in data management, co-developed of the Applied Data Governance Practitioner (ADGP®) certification from Dataversity, and is pursuing an Executive PhD in Data Governance at Antwerp Management School. Mathias has more than 16+ years of experience helping organizations design, launch, and mature data and AI governance programs that are pragmatic, sustainable, and aligned to executive priorities. His proprietary Data Governance Sprint™ and AI Governance Sprint™ methodologies have been delivered to clients across banking, insurance, healthcare, public sector, retail, utilities, manufacturing, and logistics. He is also a frequent speaker at the leading international conferences in the field — including Enterprise Data World, DGIQ, Data Modeling Zone, and the Data & AI Conference — and has delivered trainings and workshops for various companies and guest lectures for Vlerick Business School’s MBA program. Mathias is the author of the forthcoming book Data Governance Sprints (expected late 2026, Technics Publications) and AI Governance Sprint (2027, Technics Publications). He brings to this course a rare combination of deep practitioner experience, standards-level authority through his DMBOK 3.0 role, and academic rigour through his ongoing PhD research — translating complex regulatory and ethical frameworks into approaches that participants can apply on Monday morning.
Course Summary
Price: £1,295 + VAT (VAT only charged if UK resident)
Instructor: Chris Bradley
Time: 09:00 – 17:00 GMT
Duration: 3 Days
Language: English
Certification: Yes – Certificate of completion
