Certification training
CDMPCDMP Specialist: Data Quality
A Specialist-level preparation program for the CDMP Data Quality exam, one of seven DAMA Specialist exams that, together with the Data Management Fundamentals exam, lead to CDMP Practitioner and Master. It deepens the discipline of profiling, measuring, and continuously improving data assets.
Learning path options
Why attend
- Data Quality is one of the seven official CDMP Specialist exam topics
- Two Specialist exams are required for CDMP Practitioner and Master, making this a direct step up the pathway
- Strengthens the measurement discipline behind trustworthy reporting, analytics, and AI
Who should attend
- Data quality analysts and leads
- Data stewards accountable for quality remediation
- Engineers and analysts who operate quality rules and scorecards
What you'll learn
- Prepare for the CDMP Data Quality Specialist exam at examination depth
- Apply DMBOK-aligned profiling, quality rule design, and measurement practices
- Run root cause analysis and continuous improvement on enterprise data assets
Prerequisites
Best taken alongside or after the Data Management Fundamentals exam, which is required for every CDMP level.
Examination
Online, proctored Specialist exam through DAMA International. The seven Specialist topics are Data Governance, Data Quality, Data Modelling and Design, Metadata, Data Warehousing and Business Intelligence, Reference and Master Data Management, and Data Integration and Interoperability; two are required for Practitioner and Master. ESL candidates receive an additional 20 minutes.
Certification
- CDMP is awarded by DAMA International and is valid for 3 years; renewal is through submitted Continuing Professional Development activities
- All exams are based on the DAMA-DMBOK, 2nd edition
- The certification and exams are issued by DAMA International; DAI provides the training
Credential tiers
Build this capability across your teams.
DAI Consultancy delivers CDMP Specialist: Data Quality as a corporate cohort — in-person, virtual, or hybrid — structured around your organization's objectives.