The goal: I'm trying to find the % of users that are logging into our platform via our Mobile app OR % of users not logging in 45 days+ (2 sepearate reports, but I think the same solution could be applied to both).
I have a field in our usage MDA called the '1st Mobile Login Date', I think I could use this as the identifier - that if this field is populated, that the user has logged in via mobile. With date ranges, I could possibly alter this to be something more dynamic, where we could then adjust the % of mobile users in the last week or month, etc.
However, the formula fields have to be setup the correct way and I am not quite sure how to get '1st Mobile Login Date'/# of Licensed Users' in the formula to then generate that percentage. I'd rather do this in GS instead of outside the system and then pumping it in but am struggling a little bit.
- The same method would probably work on the other report request: where we have the "Last Login Date" field that could be utilized for finding % users that haven't logged in for more than 45 days.
OR would creating a bionic rule that calculates this be better OR we could do this in the MDA itself?
What would more experienced/technical people recommend here?
Thanks again for all your help!!
Hey
You could do this in Data Designer as well. It gives you rule-like merging capabilities without requiring you to actually create a custom field and load to it in the MDA.
you can use the “case field” to get if the 1st mobile login date is present or not.
This post will also be helpful -
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