Forum Discussion
Anonymous
7 years agoNot applicable
Applying historical data to forecasts
Hi All, I am wondering if it is possible to use historical figures to apply to future forecasts. More specifically I have historic demand and historic delivery data by month and so know what % ...
- Anonymous7 years ago
HI Anonymous,
You can write variable to get current date and previous date, then use them to find out corresponded record and calculate the rate.
Forecast Delivery= VAR currDate = MAX ( Historical[Date] ) RETURN CALCULATE ( SUM ( Historical[Demand] ), FILTER ( ALLSELECTED ( Historical ), YEAR ( [Date] ) = YEAR ( currDate ) && MONTH ( [date] ) = MONTH ( currDate ) ) ) * CALCULATE ( SUM ( Historical[Delivery] ) / SUM ( Historical[Demand] ), FILTER ( ALLSELECTED ( Historical ), YEAR ( [Date] ) = YEAR ( currDate ) - 1 && MONTH ( [date] ) = MONTH ( currDate ) ) )If above not help, please share some sample data with same data structure for test.
Regards,
Xiaoxin Sheng
Anonymous
7 years agoNot applicable
HI Anonymous,
You can write variable to get current date and previous date, then use them to find out corresponded record and calculate the rate.
Forecast Delivery=
VAR currDate =
MAX ( Historical[Date] )
RETURN
CALCULATE (
SUM ( Historical[Demand] ),
FILTER (
ALLSELECTED ( Historical ),
YEAR ( [Date] ) = YEAR ( currDate )
&& MONTH ( [date] ) = MONTH ( currDate )
)
)
* CALCULATE (
SUM ( Historical[Delivery] ) / SUM ( Historical[Demand] ),
FILTER (
ALLSELECTED ( Historical ),
YEAR ( [Date] )
= YEAR ( currDate ) - 1
&& MONTH ( [date] ) = MONTH ( currDate )
)
)
If above not help, please share some sample data with same data structure for test.
Regards,
Xiaoxin Sheng