cost
8 TopicsDax for total row optimization
hi Guys, this is my DAX: EffectivePrice Percentage = IF(ISINSCOPE(Fct_EA_AmortizedCosts[Discountability]) || ISINSCOPE(Fct_EA_AmortizedCosts[DiscountPlanName]) || ISINSCOPE(Fct_EA_AmortizedCosts[SubscriptionName]) || ISINSCOPE(Dim_EA_AmortizedCosts_Resources[ResourceType]), DIVIDE( SUMX( Fct_EA_AmortizedCosts, ('Fct_EA_AmortizedCosts'[EffectivePrice]) * ('Fct_EA_AmortizedCosts'[WeightInBillingCurrency]) ), SUM('Fct_EA_AmortizedCosts'[WeightInBillingCurrency]) ) / 100, BLANK() ) as you can see I am adding ISINSCOPE all the time when new page with new columns in matrix arrived in order to not show total row. Is there a possibility to optimize this DAX to be more generic? Best, JacekSolved855Views0likes3CommentsForcasting cost based on periodical costprice
Greetings, Been thinking about this problem for a few weeks now and can't seem to find the best solution, hopefully the community can help! We are trying to forcast the upcomming 'project'-year, this forcast is a combination of asked hours for each employee for each project times his costprice. But that's where this gets difficult. Because our costprice table had multiple prices per Employee: For example: EmployeeCostPrice EmployeeID EmployeeStart EmployeeEnd Employeeprice 1 1-1-2020 31-12-2020 60 1 1-1-2021 31-12-2021 70 1 1-1-2022 null 90 2 1-1-2021 31-12-2021 60 2 1-1-2022 31-12-2025 90 This table is an example table found in our systems. It shows how much a person costs in a specific period. Powerbi needs to know which row to pick depending on the period. For now we took the last row with a unique EmployeeID but this is also very inaccurate. ForcastNeededProjectHours ProjectID EmployeeID MonthlyPeriod AmountHours P1 1 1-1-2021 20 P1 1 1-2-2021 25 P1 1 1-1-2022 20 P2 1 1-1-2022 20 This is our table with the amount of hours a project asks an employee in an corresponding montly period. I think it should be possible with a relative measure but we don't know where to look next... Our question is: How can we make a visual with a relative measure (?) where the predicted total cost in a (montly) period for each employee for each project uses the right cost-price to calculate its total. Thanks in advance! FrenchFry562Views0likes2CommentsCost break down percentages per year
Hello 😃 I need to create a cost breakdown where the price reduces yearly for 4 years, each year 50% of the previous year. Ex: The benefit1 of 100$ starts in 2018 - Cost in 2018 is 50$ - Cost in 2019 is 25$ - Cost in 2020 is 12,5$ - Cost in 2021 is 6,25$ - Cost in 2022 is 0 (because the benefit only last 4 years) Then I need to know the sum of all benefits in each year The data I have is the total benefit (100$ in the example) and the date on which the benefit will start counting.Solved1.6KViews1like6CommentsSimple Cost Ratio from GL Data
Hello all, pretty frustrated with what I feel should be a simple task I have a simple set of GL data, as seen below, where my amount is in one column, and my accounts are rows. I then do a very simple model where I have a GL Account class lookup table, which assigns the class "revenue" and "cost" to each account. I then just want to have a simple cost ratio at the account level, of cost/total revenue. the table should look as such below, but nothing returns at the account level for a margin. even the revenue accounts are wrong, as Revenue Reg should be 60% of total revenue, , and Revenue Spec should be 40% My measures are Value = SUM(data_table[Amount]) Total Revenue = CALCULATE([Value],gl_class[Class]="Revenue") Cost Margin = DIVIDE([Value],[Total Revenue]) any help would be greatly appreciatedSolved854Views0likes2CommentsSQL Server Enterprise Edition with Software Assurance
Hi, Am trying to find out how much does it cost for PBI RS Licensing for 5 usesrs through SQL Server Ent Edition but I couldn;'t find information available anywhere. Power BI Premium: I found this is expensive for 5 users . SQL Server Enterprise Edition with Software Assurance. is there is any cost calculator page available ? Thanks, KumarSolved10KViews0likes3Comments