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Hello friends,
I'm struggling with this issue for like a month, anybody could help me please?
I have two tables:
Forecast Table:
Account
Category
Subcategory
SubSubcategory
Forecasted Value
Actual Table:
Account
Category
Subcategory
SubSubcategory
Actual Value
I would like to calculate my forecast accuracy in two methods (like in the simplified table below) :
- Weighted Average Accuracy (easy, I got this)
- Non Weighted Average of the Subcategory Accuracies (in yellow)
After this, I need to be able to filter the results by "Account" with a slicer on my dashboard.
This will allow me to understand how well the Account has forcasted for each Category, Subcategory and the third is a KPI that kind of average the two.
I think this could be done with some DAX VAR or GROUPBY but didn't manage to do make it right now.. Any ideas folks?
Solved! Go to Solution.
Hi @Anonymous ,
Is [Weighted Average Accuracy] a measure?
Try this formula:
measure = averagex(filter(table,table[category]=selectedvalue(table[category])),[Weighted Average Accuracy])
Best Regards,
Jay
Hi @Anonymous ,
Is [Weighted Average Accuracy] a measure?
Try this formula:
measure = averagex(filter(table,table[category]=selectedvalue(table[category])),[Weighted Average Accuracy])
Best Regards,
Jay