Hi,
[Calculated fields] Analysis vs Data Prep
at which stage do you recommend inserting Calculated fields ?
in other words, what are the benefits of each level?
kind regards,
Hi @chhbi
Here is a high-level comparison of using calculated fields at the analysis level vs data prep level in Amazon QuickSight:
Calculated Fields | Analysis Level | Data Prep Level |
---|---|---|
Use Cases | Tailored to specific analysis/visual | Reusable across analyses |
Flexibility | Can change often during exploration | Governed transformations |
Data Scope | Compute on aggregated data | Affect raw dataset |
Field References | Can leverage other analysis fields | Referenced in analysis calculated fields |
Performance | Interactive analytical workflow | Efficient for large data |
Workflow Stage | Ad hoc analytics | Early data preparation |
Nested Calculations | Simpler calculations | More complex |
In summary:
-
Analysis level calculated fields enable flexible analytics tailored to the needs of a given analysis.
-
Data prep calculated fields allow governed transformations reusable across analyses for efficiency.
-
Using calculated fields at both levels together provides benefits across the analytics workflow.
Hope it helps,
GL
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Hi,
Very much so.
Thank you for your clear and prompt response
kind regards