Forum Discussion
Key influencers analyzing measure
Hi,
I'm trying to implement the new feature of analyzing measure in the key influencers visualization.
Suppose I have a table of sales with columns Region, Month, Units Sold, Total Revenue.
I would like to analyze Revenue/Unit.
I defined a measure of SUM(Total Revenue)/SUM(Units Sold)
Put it in the visualization.
The thing is that every segment it finds is compared to the overall Revenue/TEU calculated on a row level.
Example: Sales of 100 units with total Revenue of $100 and another row of 200 units with total Revenue of $100
For the visualization the benchmark is $0.75 per unit (100/100 + 200/100)/2
Obviously I want it to be compared to $0.67 ((100+100)/(200+100))
Is there a way to make the visualization consider the measure as a measure?
Thanks
6 Replies
- v-xuding-msftCommunity Support
Hi Sasha ,
Can you please share a dummy file? If you can't, please share some sample data, your expected results and screenshots that will make us help you quickly and accurately.
How to Get Your Question Answered Quickly
Best Regards,
Xue Ding
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
- SashaHelper III
Here's a sample of my data:
I add a measure:
Revenue/Unit = DIVIDE(SUM(Sales[Total Revenue]),SUM(Sales[Units Sold]))I then want to analyze this measure all columns:Without filtering total revenue is $594100 and total units sold 144661So Revenue/Unit = 594100/144661 = $4.11However, the visualization compares the segments to other average.What it basically does - it calculates the measure on a row level and then averages all results resulting in $4.39.I would like it to compare to $4.11 - is it possible (otherwise - why am I given the option to analyze by measure?)- v-xuding-msftCommunity Support
Hi Sasha ,
How about adding CALCULATE per sum values? Did you try this? Did it work?
Revenue/Unit = DIVIDE(CALCULATE(SUM(Sales[Total Revenue])),CALCULATE(SUM(Sales[Units Sold])))
Due to the sample data is a part of your data, I'm not sure the result I tested is what you want. You could try this firstly. If there is anything wrong, please point it.
Best Regards,
Xue Ding
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.