Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
HI team,
I have a Data Model that includes Sales by End of Month and an Assumptions table with increase to Sales for following months.
How can I apply the assumption to Actuals to forecast the sales.
| Account | EOM | Amt | Ver |
| Sales | 31/07/2017 0:00 | $200,000.00 | Act |
| Sales | 31/08/2017 0:00 | $245,700.00 | Act |
| Sales | 30/09/2017 0:00 | $268,000.00 | Act |
| Account | Forecast Start | Increase | Ver |
| Sales | 31/10/2017 0:00 | 0.07 | F1 |
Thanks for help.
Solved! Go to Solution.
@Stharwani,
Firstly, create a new table using the DAX below.
TestTable = UNION(SELECTCOLUMNS(Actual,"Date",Actual[EOM],"salesamount",Actual[Amt],"increase",BLANK()),SELECTCOLUMNS(Forecast,"Date",Forecast[Forecast Start],"salesamount",BLANK(),"increase",Forecast[Increase]))
Secondly, create a date table using the DAX below. Then create realtionship between date table and new table using date field.
Date = ADDCOLUMNS ( CALENDAR (DATE(2017,1,1), DATE(2017,12,31)), "DateAsInteger", FORMAT ( [Date], "YYYYMMDD" ), "Year", YEAR ( [Date] ), "Monthnumber", FORMAT ( [Date], "MM" ), "YearMonthnumber", FORMAT ( [Date], "YYYY/MM" ), "YearMonthShort", FORMAT ( [Date], "YYYY/mmm" ), "MonthNameShort", FORMAT ( [Date], "mmm" ), "MonthNameLong", FORMAT ( [Date], "mmmm" ), "DayOfWeekNumber", WEEKDAY ( [Date] ), "DayOfWeek", FORMAT ( [Date], "dddd" ), "DayOfWeekShort", FORMAT ( [Date], "ddd" ), "Quarter", "Q" & FORMAT ( [Date], "Q" ), "YearQuarter", FORMAT ( [Date], "YYYY" ) & "/Q" & FORMAT ( [Date], "Q" ) )
At last, create the following measures in the new table.
Sales = SUM(TestTable[salesamount])
Last Sales =
IF (
ISBLANK (
CALCULATE (
[Sales],
DATEADD ( 'Date'[Date], 1, MONTH )
)
),
[Sales],
1
)
MultiplyBy =
IF (
ISBLANK ( [Last Sales] ),
1 + MAX(TestTable[increase]),
[Last Sales]
)
Cumulated LN =
CALCULATE (
SUMX ( VALUES ( 'Date'[Monthnumber] ), LN ( [MultiplyBy] ) ),
DATESBETWEEN (
'Date'[Date],
BLANK (),
MAX ( 'Date'[Date] )
)
)
Sales ForeCast =
SUMX (
VALUES ( 'Date'[Monthnumber] ),
IF ( ISBLANK ( [Sales] ), EXP ( [Cumulated LN] ), [Sales] )
)
Reference:
http://blog.gbrueckl.at/2015/04/recursive-calculations-powerpivot-dax/
Regards,
Lydia
@Stharwani,
Firstly, create a new table using the DAX below.
TestTable = UNION(SELECTCOLUMNS(Actual,"Date",Actual[EOM],"salesamount",Actual[Amt],"increase",BLANK()),SELECTCOLUMNS(Forecast,"Date",Forecast[Forecast Start],"salesamount",BLANK(),"increase",Forecast[Increase]))
Secondly, create a date table using the DAX below. Then create realtionship between date table and new table using date field.
Date = ADDCOLUMNS ( CALENDAR (DATE(2017,1,1), DATE(2017,12,31)), "DateAsInteger", FORMAT ( [Date], "YYYYMMDD" ), "Year", YEAR ( [Date] ), "Monthnumber", FORMAT ( [Date], "MM" ), "YearMonthnumber", FORMAT ( [Date], "YYYY/MM" ), "YearMonthShort", FORMAT ( [Date], "YYYY/mmm" ), "MonthNameShort", FORMAT ( [Date], "mmm" ), "MonthNameLong", FORMAT ( [Date], "mmmm" ), "DayOfWeekNumber", WEEKDAY ( [Date] ), "DayOfWeek", FORMAT ( [Date], "dddd" ), "DayOfWeekShort", FORMAT ( [Date], "ddd" ), "Quarter", "Q" & FORMAT ( [Date], "Q" ), "YearQuarter", FORMAT ( [Date], "YYYY" ) & "/Q" & FORMAT ( [Date], "Q" ) )
At last, create the following measures in the new table.
Sales = SUM(TestTable[salesamount])
Last Sales =
IF (
ISBLANK (
CALCULATE (
[Sales],
DATEADD ( 'Date'[Date], 1, MONTH )
)
),
[Sales],
1
)
MultiplyBy =
IF (
ISBLANK ( [Last Sales] ),
1 + MAX(TestTable[increase]),
[Last Sales]
)
Cumulated LN =
CALCULATE (
SUMX ( VALUES ( 'Date'[Monthnumber] ), LN ( [MultiplyBy] ) ),
DATESBETWEEN (
'Date'[Date],
BLANK (),
MAX ( 'Date'[Date] )
)
)
Sales ForeCast =
SUMX (
VALUES ( 'Date'[Monthnumber] ),
IF ( ISBLANK ( [Sales] ), EXP ( [Cumulated LN] ), [Sales] )
)
Reference:
http://blog.gbrueckl.at/2015/04/recursive-calculations-powerpivot-dax/
Regards,
Lydia
| User | Count |
|---|---|
| 22 | |
| 22 | |
| 20 | |
| 19 | |
| 11 |
| User | Count |
|---|---|
| 66 | |
| 56 | |
| 46 | |
| 44 | |
| 31 |