Cumulative grand total & percentage of time gone

[obrient]

Hello all.

I have a challenge that I have been struggling to solve for some time now and I am hoping one or more of you may be able to steer me in the right direction.

I have simplified things somewhat, but the basic premise is that we have budgets which are rolled up to the monthly level, with the budgeted amounts all loaded against the first of each month. Through the course of the month, our finance team want to be able to see and report on how well we are performing against that budget given how far through the month we are. This is only ever viewed as deep as the monthly level, so no issues here. I calculate the % time gone in each month and apply this to the total monthly budgeted figure - there is the assumption that the monthly budget will be split evenly by working days in that calendar month.

The trouble comes when looking at the grand total. The budgeted numbers all sum up nicely, but this is then multiplied by the % of time gone in the year. This results in a number which may not reflect the sum of the monthly budgeted numbers. I post examples below, given this sample data set.

Date	Type	Amount
01 January 2021	Product	36686
01 February 2021	Product	61274
01 March 2021	Product	52257
01 April 2021	Product	32823
01 May 2021	Product	24308
01 June 2021	Product	13116
01 July 2021	Product	33770
01 August 2021	Product	41911
01 September 2021	Product	16317
01 October 2021	Product	14428
01 November 2021	Product	52476
01 December 2021	Product	58714
01 January 2021	Customer	12934
01 February 2021	Customer	33951
01 March 2021	Customer	24146
01 April 2021	Customer	20684
01 May 2021	Customer	32078
01 June 2021	Customer	47528
01 July 2021	Customer	17419
01 August 2021	Customer	38909
01 September 2021	Customer	57259
01 October 2021	Customer	37667
01 November 2021	Customer	18932
01 December 2021	Customer	62019
01 January 2021	Overheads	44289
01 February 2021	Overheads	12181
01 March 2021	Overheads	55487
01 April 2021	Overheads	37080
01 May 2021	Overheads	35556
01 June 2021	Overheads	63492
01 July 2021	Overheads	63065
01 August 2021	Overheads	61488
01 September 2021	Overheads	39400
01 October 2021	Overheads	60279
01 November 2021	Overheads	28180
01 December 2021	Overheads	56302

The dates table contains a flag [Working Day] to indicate whether a day is a weekday or a weekend - we are only interested in weekdays for the purposes of this calculation.

% Time Gone =
CALCULATE ( SUM ( [Working Day] ), FILTER ( Dates, Dates[Date] < TODAY () ) )
    / CALCULATE ( SUM ( Dates[Working Day] ) )

Amount To Date =
CALCULATE ( SUM ( Budgets[Amount] ) * [% Time Gone] )

As you can see, the 'Amount to Date' is calculated correctly for each month.

The grand total shows 49% of 1,398,405 = 685,807.82; this should be the sum of 'Amount to Date' by month = 634,227.45.

I understand why this is being calculated in this way, and I understand the concept of HASONEFILTER. My question is how to achieve this assuming that loading the budgets at a daily level is not possible.

I have tried the below formula, but this does not work correctly. I believe I know why - because the [% Time Gone] measure is being evaluated at the row level? And it cannot be evaluated where the first of the month lands on a weekend.

Anyway, it hasn't really got me any closer to my desired result.

Amount To Date 2 =
SUMX ( Budgets, CALCULATE ( SUM ( Budgets[Amount] ) * [% Time Gone] ) )

I am thinking it would require me to calculate a table with the budgeted numbers being split by working day before doing a SUMX, but after much trying I am no closer to figuring it out.

Any help at all would be much appreciated!

[Jihwan_Kim · Accepted solution]

https://www.dropbox.com/s/nmz7680rasn2o13/obrient.pbix?dl=0