Simple problem on the prediction precision.
For all articles, I would like to calculate the maximum value of prognosis and outcome.
For all articles, I would like to calculate the absolute difference between the forecast and actual.
This shall always be done for the selected dimension, for example, customer.
But if, for example, the dimension group of customers used to be every single article summarized first and then the absolute difference / maximum calculation.
Is this possible to solve as a calculated member?
Customer1 | |||||
Forecast | Actual | Max | Abs Delta | Precision | |
Article1 | 90 | 50 | 90 | 40 | 55,56% |
Article2 | 50 | 100 | 100 | 50 | 50,00% |
Sum | 140 | 150 | 190 | 90 | 52,63% |
Customer2 | |||||
Forecast | Actual | Max | Abs Delta | Precision | |
Article1 | 50 | 90 | 90 | 40 | 55,56% |
Article2 | 50 | 100 | 100 | 50 | 50,00% |
Sum | 100 | 190 | 190 | 90 | 52,63% |
Customer1 +Customer2 | |||||
Forecast | Actuall | Max | Abs Delta | Precision | |
Article1 | 140 | 140 | 140 | 0 | 100,00% |
Article2 | 100 | 200 | 200 | 100 | 50,00% |
Sum | 240 | 340 | 340 | 100 | 70,59% |
Customer1 +Customer2 | |||||
Forecast | Actual | Max | Abs Delta | Precision | |
Article1 | =B13+B6 | =C13+C6 | =MAX(B20:C20) | =ABS(B20-C20) | =1-E20/D20 |
Article2 | =B14+B7 | =C14+C7 | =MAX(B21:C21) | =ABS(B21-C21) | =1-E21/D21 |
Sum | =SUMMA(B20:B21) | =SUMMA(C20:C21) | =SUMMA(D20:D21) | =SUMMA(E20:E21) | =1-E22/D22 |