Forum Discussion
Daily Sales Run Rate/Projection Measure
- 6 years ago
Hi, ukhan2020TO
Here is a sample .
Try measures as below if it works:
Today = DATE(2020,05,24)_bussiness_days = CALCULATE(COUNT('Table'[Date]),FILTER('Table',WEEKDAY('Table'[Date],2)<=5))_fact_bussiness_days = CALCULATE ( COUNT ( 'Date'[Date] ), FILTER ( 'Date', ( WEEKDAY ( 'Date'[Date], 2 ) <= 5 ) && 'Date'[Date] >= DATE ( YEAR ( [Today] ), MONTH ( [Today] ), 1 ) && 'Date'[Date] <= DATE ( YEAR ( [Today] ), MONTH ( [Today] ) + 1, 1 ) - 1 ) )result = SUM('Table'[Daily Days])/[_bussiness_days]*[_fact_bussiness_days]Best Regards,
Community Support Team _ Eason
ukhan2020TO - Seems like you would need a date column in there so just going to assume you have one.
Maybe something along the lines of:
Measure =
VAR __Date = MAX('Table'[Date])
VAR __Month = MONTH(__Date)
VAR __Year = YEAR(__Date)
VAR __Table = FILTER('Table',MONTH('Table'[Date]) = __Month && YEAR('Table'[Date]) = __Year)
VAR __DaysInMonth = ( EOMONTH(__Date,0) - DATE(YEAR(__Date),MONTH(__Date),1) ) * 1.
RETURN
AVERAGEX(__Table,[Total Sales]) * __DaysInMonth
But really, this is a pure guess because the information provided is spotty. Please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.
- ukhan2020TO6 years agoFrequent Visitor
Hi Greg,
Apologies for the spotty data. Im a newbie to PowerBi. Let me try this again...
Required: Sales Run Rate for the Month using Daily Sales to date
Example: May: I have daily sales up May 24, 2020 in the table below.
What Output Should be: Total Sales MTD = $5,524,106.61. Number of Business Days Until 24th = 16. Therefore, run rate should be = (Totals Sales MTD/16 business Days) * 21 Buisness Days in May = $7,250,389.93
Daily Days Day of Month 334,416.78 1 79.57 3 313,449.04 4 37,876.94 5 274,971.36 6 455,789.78 7 534,518.28 8 689,975.05 11 270,497.72 12 331,275.68 13 461,502.66 14 233,845.32 15 5,379.90 16 660.26 17 184,182.79 18 256,112.80 19 473,647.46 20 438,192.11 21 226,193.46 22 1,539.65 24 My relationships are as follows: The date column also has a hierarchy of Year/Quarter/Month/Day
I hope this makes it clearer....
Thanks again, much appreciated.