Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!To celebrate FabCon Vienna, we are offering 50% off select exams. Ends October 3rd. Request your discount now.
Hi
For a sales forecast report I need to calculate the future sales based on dealvalues and the closing date of a deal. The closing date is the date that the deal is expected to be closed (will always be in the future). For the sales forecast we need to recognize 50% of the dealvalue on closing date, and the other 50% 6 months after the closing date.
I have a date tabel, which has been brought in relationship with the closing.date column in the deals table.
The measure I have created, which doesn't bring the expected result is:
Solved! Go to Solution.
@Khalidc , Assume you have Table with Deal amount and close date
A new columns
Addcolumns(
generate(table, filter(calendar(close_date, eomonth(close_date,6)), [Date] = eomonth([Date],0))),
"New Deal Amount" , if(eomonth([Close_date],0) = [Date], [Deal Amount]/2, [Deal Amount]/12))
@Khalidc , Assume you have Table with Deal amount and close date
A new columns
Addcolumns(
generate(table, filter(calendar(close_date, eomonth(close_date,6)), [Date] = eomonth([Date],0))),
"New Deal Amount" , if(eomonth([Close_date],0) = [Date], [Deal Amount]/2, [Deal Amount]/12))
Hi @amitchandak
Many thanks for your help! I did have to make a slight adjustment on your suggestion but it helped into the right direction. Your solution provided a spread of the amount over the 6 month, but I needed 50% recognised at closing and 50% after closing. See below the adjustments I have made in red.
Many thanks for your help!
I have created a new table using below measure, which has done the trick for me.