Data Quality Elective Training CDMP Practitioner

Introduction and key concepts 

• Definition of quality management quality
• Data quality dimensions: overview of frameworks and summary of DMBOK (definition, example of requirement and associated control rule)
• Definitions of the main processes performed on data to improve their quality: Data Profiling, cleaning, analysis, enrichment, transformation, and standardization 

Objectives and principles 

• Issues and benefits for organizations
• Data quality issues: typical situations and root causes
• Constitutive principles of quality: description of the principles to follow to succeed in a data quality approach 

Quality management approach 

• Explanation of the data quality improvement cycle – Deming Wheel: start of a new cycle, plan, do, check, and act 

Quality management activities 

• Definition of data quality strategy
• Identification of critical data
• Data quality audit
• Identification and prioritization of improvements
• Implementation of quality operations 

Key success factors and risks 

• Adequacy of the organization to the prerequisites for deploying a quality approach and risks associated with the prerequisites 

Preparation for the CDMP Practitioner certification exam 

• Presentation of the CDMP certification 
• Presentation and certification support 
• Mock exam 

In-person training :

• November 12, 2025

CDMP certification preparation (distance learning): 

• November 20, 2025

To obtain this level of certification, you must present to DAMA a certificate of success in the "Data Management Fundamentals" exam with at least 70% as well as certificates of success in at least two elective exams. This "Data Quality Elective" training will provide you with the necessary knowledge to pass one of the two required electives. 

Yes, you can definitely benefit from this training. However, if you wish to obtain the CDMP Practitioner certification to which this elective contributes, you will need to pass the CDMP certification exam with a success rate of at least 70%. 

The DMBOK is the Data Management Book Of Knowledge, one of the reference works on topics related to data management. It is published by the Data Management Association, DAMA, an international association of business and technical professionals dedicated to promoting the understanding, development, and use of best practices in data management. 

All training sessions are adaptable to your needs. They can therefore be either in-person or remote according to your request. However, we do not conduct hybrid training sessions, so in-person inter-company training sessions at our premises are not accessible remotely.