CDMT Data Quality Analyst – Advanced
The course goes into finer details which would be useful for data quality analysts around data understanding such as data keys and how anyone in an organisation can use a business glossary to easily get a better understanding of what the data held by the organisation is and the processes it is involved in.
The course also details how data quality analysts can use data lineage testing and auditing to find problems with how data is stored and used within the organisation.
As fixing data quality problems may also require the data quality analyst to recommend, design, implement and monitor quality procedures for use in the data production process, the course details how processes and procedures, process flow documentation, lean methodology, solution design, back book remediation and root cause remediation are used to help fix data quality issues.

Modules
- An Introduction to Data Governance
- The Importance of Data Governance
- An Introduction to Data Understanding
- The Importance of Data Understanding
- CDE Data Ownership
- Data Keys
- Business Glossary
- Data Lineage
- Processes & Procedures
- Process Flow Documentation
- Lean Methodology
- Solution Design
- Back Book Remediation
- Root Cause Remediation
Tier 1 Contents
14 Modules – Including 42 Practice Tests
14 Videos
280+ Introduction Questions
280+ Multiple Choice 1 Questions
Certification Test (x2) available for £50
Tier 2 Contents
14 Modules – Including 42 Practice Tests
93 Videos
280+ Introduction Questions
280+ Multiple Choice 1 Questions
280+ Multiple Choice 2 Questions
140+ Interactive Questions
Certification Test (x2) available for £50