Modern organizations operate in environments defined by fragmented systems, omnichannel interactions, and rising expectations for real-time data access. Legacy data silos and batch-driven processes often struggle to meet these demands, putting pressure on data teams to modernize how master data is integrated, governed, and delivered. Led by Dave Wilkinson of D3Clarity, this course frames master data management technology as a response to these evolving business and technical challenges. 

The course traces the evolution of MDM technology, examining early data management limitations and the emergence of capabilities such as Customer Data Integration (CDI) and Product Information Management (PIM). Key business drivers, including information visibility, customer centricity, and mission-critical operations, are explored alongside enabling technologies such as modern databases, real-time and batch processing models, and cloud platforms. The course also introduces the role of AI and machine learning in areas like data matching, survivorship, and predictive analytics, offering a forward-looking perspective on the future of MDM technology. 

Course Highlights 

• Overview of data models as tools for communication and decision-making 
• Exploration of business information, relational, and alternative modeling approaches 
• Application of normalization, keys, and logical-to-physical model translation 
• Introduction to NoSQL, schema-less databases, and unified modeling frameworks 
• Practical examples illustrating how models reduce ambiguity and improve alignment 

Pricing and Credits  

• Individual Course Price: $99 
• Learning Plan Price:  $499 
• Course CEUs: 2.0 hours 

By the End of This Course, You’ll Be Able To:  

• Explain the purpose and value of data models in business and technical contexts 
• Interpret and create business information and relational data models 
• Apply core relational modeling principles, including normalization and keys 
• Compare modeling approaches and select appropriate patterns for different use cases 

Why Take This Course?  

Clear data models are essential for aligning business intent with technical execution. This course builds the foundational modeling skills needed to communicate data clearly, support better decisions, and collaborate more effectively across teams. 

Is This Course Right for You or Your Team?  

This course is ideal for:  

• Business and data professionals working with data definitions and requirements 
• Analysts and product owners who rely on clear, well-structured data 
• Technical professionals seeking stronger business alignment in modeling work 
• Teams looking to reduce confusion and rework caused by poorly defined data 

No advanced technical background is required. This course is designed for professionals who want to build practical data modeling competency to improve communication, decision-making, and collaboration between business and technical stakeholders. 

This Course Includes:  

• A 58-minute educational training video  
• A 12-question content-based practice exam  
• “Check for Understanding” quizzes after each section  
• Downloadable presentation slides  
• Self-paced, on-demand access with progress tracking  
• Unlimited course access