Course Description

The course covers Data Quality Management within the DAMA Body of Knowledge (DMBoK®) in depth. It discusses the many different parts of Data Quality and why validity is often confused with quality. It discusses the dimensions of Data Quality as well as the policies, procedures, metrics, technology, and resources for ensuring Data Quality. It looks at a specific reference model, as well as root cause analysis, tools that helps support Data Quality Management, creation and monitoring of Data Quality measures, and various myths and pitfalls around Data Quality Management.

The DAMA International-endorsed Learning Plan was developed by DATAVERSITY, DAMA International, and Christopher Bradley, the former VP of Professional Development at DAMA.

Purpose

To understand the importance, position, and role of Data Quality for organizations and data professionals.

Outcome

• Understand the various Data Quality areas
• Explore Data Quality policies and procedures
• Discuss data profiling, validation rules, facets, data cleansing, and more
• Understand how Data Quality is linked to other data disciplines
• Learn about the DMBoK dimensions of Data Quality

This Course Includes:

• A 2-hour and 18-minute educational training video
• A 14-question final exam
• An 8-question in-course practice test, where each question is discussed in detail by the instructor at the end of the course
• Multiple “check for understanding” practice quizzes throughout the course
• Materials made available for download once the exam has been completed
• Self-paced and on-demand e-learning
• Unlimited course access
• Course CEUs: 2.0 hours

Individual Course Price: $159
Learning Plan Price: $1599
Learning Plan CEUs: 20 hours

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

Contact us for a follow-up discussion!