I have a Beast Mode that is grouping transactions based on their date:
CASE WHEN OrderHeaderLocalDate >= '02/27/2024' THEN 'Since Changes CY'
WHEN OrderHeaderLocalDate >= '08/01/2023' AND OrderHeaderLocalDate <= '02/26/2024' THEN 'Prior YTD CY'
WHEN OrderHeaderLocalDate >= '02/27/2023' AND OrderHeaderLocalDate <= '04/08/2023' THEN 'Since Changes PY'
WHEN OrderHeaderLocalDate >= '08/01/2022' AND OrderHeaderLocalDate <= '02/26/2023' THEN 'Prior YTD PY'
ELSE 'Not in Scope'
END
This works fine, and I was using another piece of data to figure out a Year to Date period for current and prior year so it was original 07/31/2023 in place of the 04/08/2023, however I have since found the the YTD flag that exists within the data already works in a different way to what I expected, so is including a few more days than I want.
I've tried various iterations of changing the 04/08/2023 (08/04/2023 in UK) to be dynamic and within the beast mode I was getting a validated code, but when using in a visualization no results.
I have tried finding the Max date within OrderHeaderLocalDate - 366 days (leap year), this worked within a beast mode and then visualisation, but within the case seems to be a no go.
Is anyone able to help with a solution to change 04/08/2023 to what is effectively the most recent order within the dataset minus 1 year within the case statement? This means that each day when the dataset is updated with the latest transactions I won't have to make an amend every day!
I'm sure there is a simple solution I am making massively more complicated than it needs to be!
Thanks!
