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Hi - saw a really good video over here: https://www.youtube.com/watch?v=iH3gW_vy69o
It gives a good insight into dynamically creating groupings. What i'm after though is to group multiple measures into a Gold/Silver/Bronze categorisation on a store level basis.
So for a Store to be "Bronze" it must have a minimum of 2 for Measure1, a minimum of 90% for Measure2 and minimum of 50% for Measure3. For a store to be silver it must have minimum 4,,95% and 75% respectively. And so on.
Is the best technique to look at the method in the link above and then combine it across the multiple measures or is there an easier way of doing this that i'm missing?
Thanks,
Solved! Go to Solution.
Using a Switch Statement over your measures might be the way to go. Something along the lines of...
New Measure = SWITCH(
True() ,
[Measure1] >= 6 && [Measure2] > 99 && [Measure3] > 80 , "Gold" ,
[Measure1] >= 4 && [Measure2] > 95 && [Measure3] > 75 , "Silver" ,
[Measure1] >= 2 && [Measure2] > 90 && [Measure3] > 50 , "Bronze" ,
"Other" )
Using a Switch Statement over your measures might be the way to go. Something along the lines of...
New Measure = SWITCH(
True() ,
[Measure1] >= 6 && [Measure2] > 99 && [Measure3] > 80 , "Gold" ,
[Measure1] >= 4 && [Measure2] > 95 && [Measure3] > 75 , "Silver" ,
[Measure1] >= 2 && [Measure2] > 90 && [Measure3] > 50 , "Bronze" ,
"Other" )
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