ISO 8000 Master Data Quality Manager (MDQM)
Advanced Certification Course


Overview
The advanced, in-person ISO 8000 Master Data Quality Manager (MDQM) certification provides active project readiness training on practical application of the ISO 8000-100 series (master data quality) in enterprise systems and real-world business scenarios.
Designed for those already working on data quality, portability and AI roll-out in enterprise systems, it equips professionals with the knowledge and skills necessary to manage and ensure the quality of master data within their organizations, including
- How to implement ISO 8000 and quality data
- Complementary role of ISO 25500 for Data Interoperability
- Cataloging at Source (C@S) principles
- ISO 8000-driven cataloging processes
- Techniques for evaluating data quality
- Best practices for working with upstream and downstream data supply chains.
Led by ECCMA Trainers with expert knowledge and experience of quality data management, this advanced certification course offers a comprehensive, practical understanding of the ISO 8000 standard (the 100 series related to master data quality), a higher level of practical application of the standards to real-world business scenarios, and prepares participants for the MDQM certification exam.
The course incorporates both theoretical instruction and practical exercises. Participants develop and present a use case based on their organization’s data challenges, guided by our expert trainers and enhanced by learning group interaction. The format includes practical exercises on an online cataloging application and an introduction to ISO 25500 Supply Chain Interoperability and Integration.
Key Learning Outcomes
Course Agenda
The program is structured as two half-day sessions. It provides flexibility to address specific organizational needs.
Certification Exam
Upon course completion, participants can take the ECCMA ISO 8000 MDQM certification exam. This online, multiple-choice test comprises approximately 60 questions. Successful candidates will receive an electronic certificate.

Registration Process
Access to course materials, the certification exam, and the self-study program requires registration through the ECCMA website. Organizations wishing to include their company name on the certificate must validate it via an International Business Registration Number (IBRN) based on ISO 8000-116.
Day 1
- Introduction to ISO 8000 Master Data Quality
- History and background
- Core principles: defining quality, requirements, standards, and portable data
- Practical Application – Participant Use Case
- Apply course concepts by developing a real-world use case for their organization.
- Identify a data quality challenge within their company and propose how ISO 8000 standards can be applied to address it.
- The use case will outline:
- The identified problem
- Relevant ISO 8000 standards and their application
- Expected business benefits of implementation
- Participants will create a brief presentation summarizing their findings and share insights with the group on Day 2.
- Understanding ISO 8000
- Overview of standards and key principles
- Detailed exploration of ISO 8000 parts, including 110, 114, 115, 116, 117, 118, 120, 130, 140
- Practical exercises on ISO 8000-110 and 116
Day 2
- Exploring ISO 22745
- Architecture and dictionary concepts
- Practical exercises on ISO 22745-10 and 30
- Data Sources and Validation
- Cataloging at source
- Validation processes
- Cataloging Process
- Scope and procedural steps
- Manufacturer-specific guidelines
- Practical exercises on an online cataloging application, including description generation, templates, request for data from suppliers, dictionary usage, etc.
- Participants present their use case
- Each team presents their use case findings, outlining the problem, the standards applied, and expected benefits.
- Introduction to ISO 25500 Supply Chain Interoperability and Integration
- Overview of ISO 25500 series and its relevance to supply chain data management
- How ISO 25500 complements ISO 8000 in achieving data quality and interoperability
- Conclusion
- Case studies
- Resources and tools
- Summary and Q&A