Data quality sits at the center of effective decision-making, analytics, and regulatory compliance, yet many organizations struggle to manage it with consistency and discipline. Poor data quality can lead to regulatory penalties, operational failures, mistrust in reporting, and strategic missteps that ripple across the business. 

The DMBOK and CDMP Specialist Deep Dive: Data Quality is a two-day, live, online course designed to provide both a strong foundation and a practical roadmap for building effective data quality management capabilities. Grounded in the DAMA International Data Management Body of Knowledge (DMBOK Version 2 and Revised Edition), the course focuses on how data quality works in real organizations, not just how it should work in theory. 

Led by Chris Bradley, CDMP Fellow and  former VP of Professional Development at DAMA International, the course explores the principles, processes, and roles required to make data quality initiatives succeed. Participants will examine data quality dimensions, measurement techniques, business rules, profiling, cleansing, root cause analysis, and the relationship between data quality, governance, modeling, and master data management. 

Throughout the course, real-world examples, structured exercises, and guided discussions help participants connect concepts directly to their organizational context. The course also provides targeted preparation for the CDMP Data Quality Specialist exam, which is required for achieving CDMP Practitioner and Master certification levels. 

By the End of the Course, You’ll Take Home 

• A practical framework for designing and managing data quality initiatives 
• Clear methods for defining, measuring, and monitoring data quality 
• Techniques for linking data quality efforts to business impact and priorities 
• A deeper understanding of how data quality integrates with governance, modeling, and MDM 
• Focused preparation for the CDMP Data Quality Specialist exam, including practice questions 

Program Highlights 

Over two live, interactive days, you will: 

• Explore data quality as a foundational discipline within the DMBOK framework 
• Understand the difference between data quality and data quality management 
• Learn how to define and apply data quality dimensions and metrics 
• Examine profiling, validation, and monitoring techniques 
• Practice identifying root causes of data quality issues 
• Understand where tools, automation, and governance fit into data quality programs 
• Prepare for the CDMP Data Quality Specialist exam with targeted review and exercises 

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

• Explain why data quality is critical to business performance and compliance 
• Design a structured approach to data quality management 
• Define data quality requirements aligned to business needs 
• Measure, monitor, and report on data quality effectively 
• Apply root cause analysis techniques to persistent data quality issues 
• Confidently prepare for the CDMP Data Quality Specialist exam 

How the Course Works 

This is a two-day, live, online course combining instructor-led presentations, applied examples, interactive discussions, and Q&A. 

During the live sessions, you’ll experience: 

• Instructor-led lectures aligned to DMBOK and CDMP exam objectives 
• Real-world case studies 
• Practice questions aligned to the CDMP Data Quality Specialist exam 
• Live discussion and Q&A throughout the course 

The course is delivered using two integrated platforms: 

DATAVERSITY Training Center (DVTC) 
Log in at training.dataversity.net to access your course dashboard, syllabus, materials, discussion forum, and session recordings. 

Zoom 
Each day of training, you’ll join the live session directly from the DVTC platform using the “Join Now” button. 

All course materials and recordings will be available for download after the course. 

Schedule 

Dates: Monday–Tuesday, July 20–21, 2026 
Time: 8:00 AM – 1:00 PM Pacific / 11:00 AM – 4:00 PM Eastern 
Length: 2 Days 
CEUs: 9 

Pricing 

• $1,000 Early Bird Price July 4, 2026 
• $1,200 Regular Price after July 4, 2026 
• Last day to register: Friday, July 17, 2026 

Why Choose This Course 

• Led by Chris Bradley, CDMP Fellow and former DAMA International VP of Professional Development 
• Grounded in the DAMA-DMBOK (Version 2 and Revised Edition) 
• Focused on practical, real-world data quality challenges and solutions 
• Designed for both implementation guidance and CDMP Specialist exam preparation 
• Applicable across industries and organizational sizes 

Is This Course Right for You or Your Team? 

This course is ideal for: 

• Data quality practitioners and analysts 
• Data governance and MDM professionals 
• Data and enterprise architects 
• BI, analytics, and data warehouse professionals 
• Consultants supporting data initiatives 
• Professionals preparing for the CDMP Data Quality Specialist exam 

No specific technical prerequisites are required. General familiarity with data and business concepts is sufficient. 

Private Team Training 

Organizations may schedule private sessions or purchase bulk registrations for internal teams. 
Private training can include tailored discussions, focused exam preparation, and organization-specific modeling considerations. 

Contact DATAVERSITY to discuss private training and enterprise options. 

Backed by Industry Leaders 

This course is developed and delivered by DATAVERSITY, in collaboration with DAMA International, and is part of DATAVERSITY’s advanced DMBOK- and CDMP-aligned training portfolio.