In this course, instructor Christopher Bradley (a CDMP Fellow) delves into the diverse architectures of master data management (MDM), exploring beyond the traditional hub model to convey the nuances of master data matching, including rules and algorithms. The course clarifies how to navigate the complexities of taxonomies and ontologies, with practical examples to illustrate their application in MDM and reference data management (RDM), and to differentiate between operational and analytical MDM implementation, culminating in an exercise to solidify the concepts learned.  

Purpose 

The purpose of this course is to equip participants with comprehensive knowledge of MDM architectures, matching rules and algorithms, and ontologies and MDM/RDM taxonomies to implement MDM effectively within their organizations. 

Outcome 

• Explore differing master data management architectural styles 
• Gain comprehensive knowledge around data-matching rules, algorithms, and methods of use 
• Understand MDM and RDM taxonomies and ontologies 
• Become familiar with analytical and operational MDM implementation strategies 

This Course Includes: 

• An 82-minute educational training video 
• A 25-question content-based practice exam 
• “Check for Understanding” quizzes after each course section 
• Presentation slides to assist in studying for the CDMP 
• Self-paced and on-demand e-learning 
• Unlimited course access 
• Course CEUs: 2.0 hours 

Individual Course Price: $199 
Learning Plan Price: $599 
Learning Plan CEUs: 9.0 hours  

We offer several bulk licensing options for corporate and group use. 

Contact us for a follow-up discussion!