Prioritising Critical Data Elements (CDEs)
The module deals with why prioritising Critical Data Elements for an organisation is important.
The module describes how there are two approaches to prioritising CDEs, the basic and prioritised models.
The advantages and disadvantages of both the basic and the prioritised approaches to prioritising critical data elements are explained here.
Illustrated examples of both approaches are shown.
Learn why it is important to prioritise Critical Data Elements.
Learn the advantages of using the basic approach of prioritising Critical Data Elements.
Learn the disadvantages of using the basic approach of prioritising Critical Data Elements.
Learn the advantages of using the prioritised approach of prioritising Critical Data Elements.
Learn the disadvantages of using the prioritised approach of prioritising Critical Data Elements.
Understand how the two approaches compare to each other.
Who is Suitable?
Knowledge of What is a Critical Data Element would be advantageous.
As this is a data governance module the content is especially 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.
- Why is it important to prioritise Critical Data Elements?
- How are Critical Data Elements prioritised?
- When do you think a firm should use the prioritised or basic approach?
- Can you give an example of when one Critical Data Element is more important than another in a process?
- Can you give an example of one process being more important than another?
An Interactive Presentation
10+ Interactive Questions
3 Final Practice Tests – 30 questions over 30 minutes
Final Examination – 60 questions over 30 minutes