Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi Team
I have scenario
I have fiscal year period table which starts from Sep-Aug
Now i want to calculate Revenue YTD by Period including random columns from multiple dimension tables
Like i will take add Dim1_Status from Dimension1 or another column (Dim2_Status) from another dimesnion table. But i am facing issue with the ouput
(For validation purpose i am including random columns in below output but we need to have desired output even if we exclude that columns)
For your reference i am sending sample out along with desired Output (Lastcolumn)
I have tried below appraoches but i dint worked
Rev_YTD_Test1=
Rev_YTD_Test2=
I have Fiscal Year Table and i have created below formula and it is working fine.
TOTALYTD ([Revenue],'Fiscal Period'[Fiscal Date],ALL ( 'Fiscal Period' ),"31/8")
But when i am inserting any categorical column (eg BL Status) it is splitting but i need to have YTD based on date
For eg:
In the FY20P07 it supposed the status sholuld be "Closed" but i am getting "OPEN" and "CLOSED" and YTD is wrong
Still looking for solution.
@UdayReddy511 , Try time intelligence with date table
YTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD('Date'[Date],"08/31"))
Last YTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(dateadd('Date'[Date],-1,Year),"08/31"))
Time Intelligence, Part of learn Power BI https://youtu.be/cN8AO3_vmlY?t=27510
Time Intelligence, DATESMTD, DATESQTD, DATESYTD, Week On Week, Week Till Date, Custom Period on Period,
Custom Period till date: https://youtu.be/aU2aKbnHuWs&t=145s
I have already output with Fiscal Year YTD but when i include DimStatus columns my YTD is getting split..It suppose to be one..For eg in FY20P07 it suppose to be "Closed" but i am getting Open and Closed
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
113 | |
100 | |
78 | |
76 | |
52 |
User | Count |
---|---|
144 | |
109 | |
108 | |
88 | |
61 |