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Pepe1234
Frequent Visitor

Acumulative inflation

Hi, I'm trying to calculate cumulative inflation, month by month for unit price forecast (DAX not Power Query).

 

I need two columns:

      - one column with cumuative_inflation (I tried with "Productx", but it didn´t work.)

      - another column with Unit_Price_Forecast (last unit_price available in the sales table)*(cumulative_inflation)

 

Can you help me?

 

FORECAST_TABLE

DATEBUSKUINFLATIONQ
1/9/2023PRO34124600137665
1/9/2023RHCE19017003117640
1/9/2023RHCE19017103125000
1/9/2023RHCN190170031,06291268
1/9/2023RHCN190171031,06246497
1/10/2023PRO34124600133480
1/10/2023RHCE19017003117640
1/10/2023RHCE19017103125000
1/10/2023RHCN190170031,06300006
1/10/2023RHCN190171031,06253891
1/11/2023PRO34124600141850
1/11/2023RHCE19017003117640
1/11/2023RHCE19017103125000
1/11/2023RHCN190170031285006
1/11/2023RHCN190171031241197
1/12/2023PRO34124600150219
1/12/2023RHCN190170031,15282156
1/12/2023RHCN190171031,15238785
1/1/2024PRO34124600134875
1/1/2024RHCE190170031,0821600
1/1/2024RHCE190171031,0832400
1/1/2024RHCN190170031,05297897
1/1/2024RHCN190171031,05223526

 

SALES TABLE

 

DATEBUSKUUNIT_PRICEQ
1/8/2023PRO34124600  
1/8/2023RHCE19017003$ 10,015876
1/8/2023RHCE19017103$ 9,022500
1/8/2023RHCN19017003$ 1.000,0262141,2
1/8/2023RHCN19017103$ 1.500,0221847,3
1/7/2023PRO34124600$ 11,033480
1/7/2023RHCE19017003$ 9,517640
1/7/2023RHCE19017103$ 8,525000
1/7/2023RHCN19017003$ 950,0300006
1/7/2023RHCN19017103$ 1.200,0253891
1/6/2023PRO34124600$ 10,541850
1/6/2023RHCE19017003$ 9,017640
1/6/2023RHCE19017103$ 8,125000
1/6/2023RHCN19017003$ 902,5285006
1/6/2023RHCN19017103$ 1.140,0241197

 

I expect something like that:

 

DATEBUSKUINFLATIONQINFLAT_ACUMULUNIT_PRICE_FORECAST
1/9/2023PRO341246001376651,00 $                                11,0
1/9/2023RHCE190170031176401,00 $                                10,0
1/9/2023RHCE190171031250001,00 $                                  9,0
1/9/2023RHCN190170031,062912681,06 $                          1.060,0
1/9/2023RHCN190171031,062464971,06 $                          1.590,0
1/10/2023PRO341246001334801,00 $                                11,0
1/10/2023RHCE190170031176401,00 $                                10,0
1/10/2023RHCE190171031250001,00 $                                  9,0
1/10/2023RHCN190170031,063000061,12 $                          1.123,6
1/10/2023RHCN190171031,062538911,12 $                          1.685,4
1/11/2023PRO341246001418501,00 $                                11,0
1/11/2023RHCE190170031176401,00 $                                10,0
1/11/2023RHCE190171031250001,00 $                                  9,0
1/11/2023RHCN1901700312850061,12 $                          1.123,6
1/11/2023RHCN1901710312411971,12 $                          1.685,4
1/12/2023PRO341246001502191,00 $                                11,0
1/12/2023RHCN190170031,152821561,29 $                          1.292,1
1/12/2023RHCN190171031,152387851,29 $                          1.938,2
1/1/2024PRO341246001348751,00 $                                11,0
1/1/2024RHCE190170031,08216001,08 $                                10,8
1/1/2024RHCE190171031,08324001,08 $                                  9,7
1/1/2024RHCN190170031,052978971,36 $                          1.356,7
1/1/2024RHCN190171031,052235261,36 $                          2.035,1

 

Thanks, Ramiro

 

PBIX EXAMPLE

https://accuratio2015-my.sharepoint.com/:u:/g/personal/consultoria_accuratio2015_onmicrosoft_com/EQO... 

 

DATASOURCE EXAMPLE

https://accuratio2015-my.sharepoint.com/:x:/g/personal/consultoria_accuratio2015_onmicrosoft_com/EdA...

 

 

3 REPLIES 3
Pepe1234
Frequent Visitor

amitchandak
Super User
Super User

@Pepe1234 , Try with a common date table

 


Cumulative_Inflation =
CALCULATE(
PRODUCTX(FORECAST_TABLE, 1 + [INFLATION]),
FILTER(all(Date), Date[DATE] <= max(DAte[DATE]))
)

Unit_Price_Forecast =
VAR LatestPrice = calculate(Max(SALES_TABLE[UNIT_PRICE]), FILTER(all(Date), Date[DATE] = max(DAte[DATE])))
RETURN
[Cumulative_Inflation] * LatestPrice

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