For example, I want to refer the value of last year july 2022 in current month July 23. the line item is Past year revenue where I just want to show same month revenue from previous year, how could I achieve that?
@salil.nirula
movingsum() will perform better
Have you tried using Movingsum()?
I think its the OFFSET function, got the desired values. Thank you for response :)
Oh ok.sure will try that as well. Thank you
@rob_marshall how movingsum would be performing better than lag in this case when only one number needs to be calculated from previous periods?
@pyrypeura
Because MovingSum(line item,-12,-12) will perform faster than Lag(line item,12, STRICT/SEMI STRICT) which will perform better than LAG(line item,12).
@rob_marshall so based on this it would be best practice to never use LAG/OFFSET as you can achieve same functionality with MovingSum which would always be performing better even if it's only one time item at a time you want to get?
In this case, LAG(line item, 12) and MovingSum(line item, -12,-12) will return the same number, which in this case is the same member of the previous year which is what the original poster was asking. But, to your question, movingsum does perform better than lag/next().
Does anyone have any documentation on the trade-offs of having 1 model for all components of planning (service revenue, product revenue, labour planning), vs multiple models 1 for each and a consolidation model to tie it all together?
Just like the main question above, I wanted to try out the new feature on the board where you can you the insights panel to put additional cards. However, I wanted to synchronize scroll a card on the main board with the card on the insights panel but I can't find where it might be.
A quick reminder of the Bulk Copy functionality. Bulk Copy allows you copy large volumes of data from one slice of a model to another in a single, optimised operation, instead of using formulas or imports. Use case: copy a version (RF1) into a prior year version (PY RF1) using a versions list to allow for year-on-yearβ¦
