Critical Data Elements
The module explains what data elements and non-data elements are, along with examples of each.
The module then goes to describe what a critical data element is along with how to determine the criticality of a data element.
Other areas covered are the differences between derived and non-derived critical data elements.
The module also contains industry context examples.
- Learn what a data element is.
- Understand what a Critical Data Element is (CDE).
- Understand what makes a CDE critical.
- Learn the types of data elements;
- · Reporting Facts
- · Reporting Dimension
- · Reporting Filters
- Learn what Non-derived and Derived CDEs are and the differences between them.
- Be able to identify the distinct types of CDEs in a reporting table.
Who is Suitable?
No prior knowledge is required so all Data Practioners can undertake the course.
As this is a data governance module the content is especiallly useful for data owners and stewards, but would also be a useful for a wide spectrum of data roles; including but not exclusive to data analysts, data modellers, data architects and data lineage analysts.
How is the criticality of a CDE judged?
- Is Critical Data Element a standard term used across all banks?
- Can you explain what granular data is?
- What is the difference between a CDE in a Report and a CDE in a Process?
- Why are CDEs defined at the logical level?
- Is all data associated with a report or process a CDE?
- How would you define ‘Critical’ and Materially Important’?
- What does ‘Data elements are actual data’ mean?
- Why are metrics and KPIs not usually considered as CDEs?
- How many CDEs should an orgainsation have?
An Interactive Presentation
10+ Interactive Questions
Further Exercise – What is a Data Element?
3 Final Practice Tests – 30 questions over 30 minutes
Final Examination – 60 questions over 30 minutes