Data Quality Issue Management
The module explains what Data Quality Issue Management is and the benefits that it can help an organisation achieve.
The module explains the 3 main levels of data quality issues and explains why data quality issues are usually not addressed and the consequences of doing this.
Learn what data quality issue management is.
Learn the common types of data quality issues.
Understand the 3 main levels of data quality issues;
- Operational level data validation issues
- Local data quality issues
- Operational risk issues
Understand the 3 other levels of data quality issues.
Learn the uses of data quality issue management.
Learn the reasons why data quality issues are usually not concentrated on.
Who is Suitable?
No prior knowledge is required so all Data Practitioners can undertake the course.
As this is a data assessment and control module the content is especially useful for data profilers and data analysts but would also be a useful for a wide spectrum of data roles; including but not exclusive to data owners, data modellers, data architects and data lineage analysts
- Can you explain an operational level data validation issue?
- Can you explain a local data quality issue?
- Can you explain an operational risk issue?
- What is a legacy system?
An Interactive Presentation
10+ Interactive Questions
3 Final Practice Tests – 30 questions over 30 minutes
Final Examination – 30 questions over 60 minutes