In data modeling for BI requirements, when is it preferable to use a flattened data set instead of a data model?

In data modeling for BI requirements, when is it preferable to use a flattened data set instead of a data model?
A . For complex data analysis needs
B . For scenarios necessitating extensive data transformations
C . For situations requiring high data normalization
D . For quick and simple data exploration

View Answer

Answer: D

Explanation:

Flattened data sets are suitable for quick and simple data exploration due to their simplified structure, facilitating easy access and analysis.