I have created two calculation groups in an azure analysis ( B0 ) environment. The first one is a list of measures that represent a score card. Most lines use the SELECTEDMEASURE(), but a few of them have a hard measure selected. The other calculation group has some Time intelligence (YTD, Prior Year & variances in % ) as well as a split in Actual and Budget. This is what the result looks like if i put a simple Amount measure ( SUM('fact'[Amount]) ) in.
Result of Visual
The logic in the measures is not ground breaking, these are the elements of the time structure:
Period Actuals: CALCULATE(SELECTEDMEASURE();'Fact'[Version]="Actuals")
Period Budget: CALCULATE(SELECTEDMEASURE();'Fact'[Version]="Budget O")
Period Variance: CALCULATE(SELECTEDMEASURE();'Structure'[Structure]="Period Actuals") -CALCULATE(SELECTEDMEASURE();'Structure'[Structure]="Period Budget")
Period Variance % :Divide(
CALCULATE(SELECTEDMEASURE();'Structure'[Structure]="Period Variance") ;
CALCULATE(SELECTEDMEASURE();'Structure'[Structure]="Period Budget")
;0)
YTD Actuals: CALCULATE(SELECTEDMEASURE();DATESYTD('Calender'[Date];"12-31");'Structure'[Structure] = "Period Actuals")
YTD Budget: CALCULATE(SELECTEDMEASURE();DATESYTD('Calender'[Date];"12-31");'Structure'[Structure] = "Period Budget")
YTD Current Variance: CALCULATE(SELECTEDMEASURE();'Structure'[Structure]="YTD Actuals") - CALCULATE(SELECTEDMEASURE();'Structure'[Structure]="YTD Previous Year")
YTD Current Year: CALCULATE(SELECTEDMEASURE();'Structure'[Structure] = "YTD Actuals")
YTD Previous Year: CALCULATE(SELECTEDMEASURE();DATESYTD(SAMEPERIODLASTYEAR('Calender'[Date]);"12-31");'Structure'[Structure] = "Period Actuals")
YTD Variance: CALCULATE(SELECTEDMEASURE();'Structure'[Structure]="YTD Actuals") - CALCULATE(SELECTEDMEASURE();'Structure'[Structure]="YTD Budget")
YTD Variance %: Divide(
CALCULATE(SELECTEDMEASURE();'Structure'[Structure]="YTD Variance");
CALCULATE(SELECTEDMEASURE();'Structure'[Structure]="YTD Budget")
;0)
The measure in the P&L structure are alse quite simple, here are some examples:
Gross Margin WG : CALCULATE ( SELECTEDMEASURE(); GLAccount[Level03 code] = "PL00_00")*-1
Gross Margin WG - Cranes : CALCULATE ( SELECTEDMEASURE(); GLAccount[Level03 code] = "PL00_00";'Fact'[MachineType] = "LBCC")*-1
Quantity Cranes: CALCULATE ( sum('Fact'[Qty]); GLAccount[Level04 code] = "PL00_00_000";'Fact'[MachineType] = "LBCC")
The model is quite small, SQL Management studio estimates its size to about 250MB.
The issue is that when we are using one of the names calculation groups we get normal responds times ( 2 seconds at most ) but when we use both it can take up to several minutes to get a result in Power BI. Excel is faster, but still takes up to 30 seconds.
Meanwhile the memory consumption in AS goes up by several GB ?!?
This becomes worse when navigating ( filtering or adding dimensions ) up to the point where PowerBI just stops working.
We have tried changing the DAX formula's but we can figure out why it is using so much memory. Hope one of you can send us in the right direction.
Thanks!
Related
hope you are doing well and can help solve this puzzle in DAX for PowerBI and PowerPivot.
I'm having troubles with my measure in the subtotals and grand totals. My scene is the following:
I have 3 tables (I share a link below with a test file so you can see it and work there :robothappy:):
1) "Data" (where every register is a sold ticket from a bus company);
2) "Km" (where I have every possible track that the bus can do with their respective kilometer). Related to "Data";
3) and a "Calendar". Related to "Data".
In "Data" I have all the tickets sold from a period with their price, the track that the passenger bought and the departure time of that track.
Each track can have more than 1 departure time (we can call it a service) but only have a specific lenght in kilometers (their kilometers are specified in the "Km" table).
Basically what I need is to calculate the revenue per kilometer for each service in a period (year, month, day).
The calculation should be, basically:
Sum of [Price] (each ticket sold in the period) / Sum of [Km] (of the period considerating the services with their respective kilometers)
I managed to calculate it for the day granularity with the following logic and measures:
Revenue = SUM(Data[Price])
Unique dates = DISTINCTCOUNT(Data[Date])
Revenue/Km = DIVIDE([Revenue]; SUM(Km[Km])*[Unique dates]; 0)
I created [Unique dates] to calculate it because I tried to managed the subtotals of track granularity taking into account that you can have more than 1 day with services within the period. For example:
For "Track 1" we have registered:
1 service on monday (lunes) at 5:00am.
Revenue = $1.140.
Km = 115.
Tickets = 6.
Revenue/Km = 1.140/115 = 9,91.
1 service on tuesday (martes) at 5:00am.
Revenue = $67.
Km = 115.
Tickets = 2.
Revenue/Km = 67/115 = 0,58.
"Subtotal Track 1" should be:
Revenue = 1.140 + 67 = 1.207.
Km = 115 + 115 = 230.
Tickets = 6 + 2 = 8.
Revenue/Km = 1.207/230 = 5,25.
So at that instance someone can think my formula worked, but the problem you can see it when I have more than 1 service per day, for example for Track 3. And also this impact in the grand total of march (marzo).
I understand that the problem is to calculate the correct kilometers for each track in each period. If you check the column "Sum[Km]" is also wrong.
Here is a table (excel file to download - tab "Goal") with the values that should appear:
[goal] https://drive.google.com/file/d/1PMrc-IUnTz0354Ko6q3ZvkxEcnns1RFM/view?usp=sharing
[pbix sample file] https://drive.google.com/file/d/14NBM9a_Frib55fvL-2ybVMhxGXN5Vkf-/view?usp=sharing
Hope you can understand my problem. If you need more details please let me know.
Thank you very much in advance!!!
Andy.-
Delete "Sum of Km" - you should always write DAX measures instead.
Create a new measure for the km traveled:
Total Km =
SUMX (
SUMMARIZE (
Data,
Data[Track],
Data[Date],
Data[Time],
"Total_km", DISTINCT ( Data[Kilometers Column] )
),
[Total_km]
)
Then, change [Revenue/Km] measure:
Revenue/Km = DIVIDE([Revenue], [Total Km])
Result:
The measure correctly calculates km on both subtotal and total levels.
The way it works:
First, we use SUMMARIZE to group records by trips (where trip is a unique combination of track, date and time). Then, we add a column to the summary that contains km for each trip. Finally, we use SUMX to iterate the summary record by record, and sum up trip distances.
The solution should work, although I would recommend to give more thoughts to the data model design. You need to build a better star schema, or DAX will continue to be challenging. For example, I'd consider adding something like "Trip Id" to each record - it will be much easier to iterate over such ids instead of grouping records all the time. Also, more descriptive names can help make DAX clean (names like km[km] look a bit strange :)
I'm trying to calculate the remaining balance of a home loan at any point in time for multiple home loans.
Its looks like it is not possible to find the home loan balance w/ out creating one of those long tables (example). Finding the future balance for multiple home loans would require setting up a table for ea. home (in this case, 25).
With a table, when you want to look at the balance after a certain amount of payments have been made for the home loan, you would just visually scan the table for that period...
But is there any single formula which shows the remaining loan balance by just changing the "time" variable? (# of years/mths in the future)...
An example of the information I'm trying to find is "what would be the remaining balance on a home loan with the following criteria after 10 years":
original loan amt: $100K
term: 30-yr
rate: 5%
mthly pmts: $536.82
pmts per yr: 12
I'd hate to have to create 25 different amortization schedules - a lot of copy-paste-dragging...
Thanks in advance!
You're looking for =FV(), or "future value).
The function needs 5 inputs, as follows:
=FV(rate, nper, pmt, pv, type)
Where:
rate = interest rate for the period of interest. In this case, you are making payments and compounding interest monthly, so your interest rate would be 0.05/12 = 0.00417
nper = the number of periods elapsed. This is your 'time' variable, in this case, number of months elapsed.
pmt = the payment in each period. in your case $536.82.
pv = the 'present value', in this case the principle of the loan at the start, or -100,000. Note that for a debt example, you can use a negative value here.
type = Whether payments are made at the beginning (1) or end (0) of the period.
In your example, to calculate the principle after 10 years, you could use:
=FV(0.05/12,10*12,536.82,-100000,0)
Which produces:
=81,342.32
For a loan this size, you would have $81,342.32 left to pay off after 10 years.
I don't like to post answer when there already exist a brilliant answer, but I want to give some views. Understanding why the formula works and why you should use FV as P.J correctly states!
They use PV in the example and you can always double-check Present Value (PV) vs Future Value (FV), why?
Because they are linked to each other.
FV is the compounded value of PV.
PV is the discounted value at interest rate of FV.
Which can be illustrated in this graph, source link:
In the example below, where I replicated the way the example calculate PV (Column E the example from excel-easy, Loan Amortization Schedule) and in Column F we use Excel's build in function PV. You want to know the other way... therefore FV Column J.
Since they are linked they need to give the same Cash Flows over time (bit more tricky if the period/interest rate is not constant over time)!!
And they indeed do:
Payment number is the number of periods you want to look at (10 year * 12 payments per year = 120, yellow cells).
PV function is composed by:
rate: discount rate per period
nper: total amount of periods left. (total periods - current period), (12*30-120)
pmt: the fixed amount paid every month
FV: is the value of the loan in the future at end after 360 periods (after 30 year * 12 payments per year). A future value of a loan at the end is always 0.
Type: when payments occur in the year, usually calculated at the end.
PV: 0.05/12, (12*30)-120, 536.82 ,0 , 0 = 81 342.06
=
FV: 0.05/12, 120, 536.82 , 100 000.00 , 0 = -81 342.06
So I am working on a spreadsheet for a Butchery I manage and have run into a problem.
First off back story: We do $20 packs for certain bulk products that have a min/max weight range.
The Goal is to be able to put in this spreadsheet the desired minimum GP% and from that get a maximum weight based off that minimum profit margin.
For example a Beef Steak that Costs $17.50 p/kilo Would be minimum of 680g (at a GP% of 30.30%) and a maximum weight of 790g (at a GP% of 20.50%)
I have been 'googling' all day, and banging my head on my desk (as well as experimenting with different formula's) I am starting to think I may have to resort to programming a macro to perform this but I would prefer to be able to achieve in a formula on the cell that way I can copy-paste easily down the spreadsheet.
If anyone has a solution or can put me on the right track would be Awesome.
I think the formula you are looking for is :
your selling price (=20$) / your mark up on cost
where your mark up is :
your cost per kilo / (1- your margin)
So for 20% expected GP it gives :
= 20 / (17.5 / (1-0.2))
= 20 / 21.875
= 0.914... kilos
Balance is then :
Revenue = 20$
Cost = 0.914 * 17.5 = 16
Margin = 4
Margin % = 20
I have three tables that contain cost: Forecasted Cost, Actual Costs, Invoiced Costs. Each has an "EAC Filter" column for a Y/N of whether to include the cost in an Estimate at Completion, which automatically changes over time and/or as data is added. Here are examples:
EAC from the three tables can be calculated as follows:
Total Cost = Sum(Forecast[Cost])+Sum(Actual[Cost])+Sum(Invoice[Cost])
EAC = Calculate([Total Cost],EAC_Filter[EAC Filter]="Y")
I have a budget at the "Account" level, which could also be rolled up to a "Dept" level budget.
I need a measure for my Power Pivot table which will display the week at which costs have exceeded, or are forecasted to exceed 75% of the budget, using some sort of a cumulative cost, combined with the max week where cumulative cost >= .75 * Budget.
The weeks are numbered through the year as follows:
Thanks for your help!
Given an EAC measure which sums the cost per week,
EAC = CALCULATE(SUM(Forcast[Cost]) + SUM(Acutal[Cost]) + SUM(Invoice[Cost]),
EAC_Filter[EAC Filter] = "Y")
You can create a Cumulative Cost measure as follows:
Cumulative Cost = CALCULATE([EAC],
FILTER(ALL('Calendar'), 'Calendar'[Week] <= MAX('Calendar'[Week])))
Using this, we can create a measure that predicts the week the cost exceeds 75% of the budget:
75% Week = MINX(FILTER(ALL('Calendar'), [Cumulative Cost] > 0.75 * SUM(Budget[Budget])),
'Calendar'[Week])
Here's what the relationships structure looks like:
I want to Calculate profit margin from Dynamics GP Database.
Which fields or table been used. and How Can I do that.
If any one have an idea please share with me.
In general, there are many different ways to calculate gross profit margin. Be sure you are using the method which is accepted by your companies accounting policies.
Here is an example which looks at all invoices which have been posted year to date and calculates the gross profit margin percentage.
Assuming gross profit margin = total profit / total revenue.
SELECT ( SUM(SUBTOTAL) - SUM(EXTDCOST) ) / SUM(SUBTOTAL)
FROM SOP30200 t1
WHERE t1.SOPTYPE = 3
AND t1.DOCDATE BETWEEN '1/1/2013' AND GETDATE()
This will return a decimal number like .44323. In that case you would be making an average gross profit margin of 44% for every invoice year to date.
SOP30200 = posted sales transaction documents