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CDMP_13: Data Quality

This course explores the principles and practices of data quality management as defined in the DAMA DMBOK2 Revised Edition (DMBOK2/RE). Participants will examine dimensions of data quality—such as accuracy, completeness, timeliness, and consistency—and the methods used to measure, monitor, and improve them. The course emphasizes how data quality directly impacts trust, decision-making, and regulatory compliance. It also prepares learners for the CDMP exam by highlighting the frameworks, tools, and governance practices that sustain high-quality data across the enterprise.

Data Quality explores how trustworthy data drives effective decision-making, compliance, and business performance. Based on Chapter 13 of the DMBOK2 Revised Edition, the course examines core quality dimensions, metrics, and lifecycle practices. Learners will investigate common causes of poor quality, prevention and remediation techniques, and tools such as data profiling and root cause analysis. Practical frameworks like the Data Quality Management Lifecycle are also covered. By connecting conceptual knowledge with applied methods, this course prepares professionals to strengthen organizational data quality and succeed on the CDMP exam.

Course Highlights

This course offers:

52 minutes of expert-led video instruction (self-paced, on-demand)
26 CDMP-style exam questions aligned to course content
Interactive knowledge checks after each module to reinforce learning
Real-world examples and applied frameworks that connect theory to practice
Guidance aligned with the DAMA DMBOK2 Revised Edition
Access to live study groups led by a DAMA International–certified CDMP Master for additional support
Exclusive exam discount: Receive 20% off your CDMP certification exam when you train with DATAVERSITY (online or at a DATAVERSITY conference)
2.0 CEU credits earned as part of the full program
Course Price: $109
Full Learning Plan Price: $1599
Full Learning Plan CEUs: 24

By the end of this course, you’ll be able to:

Define data quality dimensions and metrics
Apply lifecycle practices for improving data quality
Use tools such as profiling and root cause analysis
Demonstrate quality management knowledge for the CDMP exam

Why Take This Course?

Focus on data quality principles central to both the CDMP exam and organizational success. Learn how to measure, manage, and improve data quality to support compliance, governance, and business outcomes.

Is This Course Right for You or Your Team?
This course is for anyone accountable for ensuring trusted, reliable data. It’s especially valuable for:

Data quality managers and stewards
Compliance and governance leaders
Analysts and developers who depend on clean data for outcomes
Professionals preparing for CDMP exam questions on quality dimensions

Backed by Industry Leaders

DATAVERSITY – An internationally respected leader in data management education, providing trusted training, conferences, and industry insights. DATAVERSITY is one of the few DAMA-endorsed CDMP training providers globally.