Forum Discussion

Anonymous's avatar
Anonymous
Not applicable
7 years ago

Incorrect Aggregations in Budget Matrix

I am trying to create a matrix for our budget that allows us to see a side by side comparison. The first matrix table is a very small example of what the data should look like when grouped correctly. However, the second table matrix is what I end up with.

I am using the following information in my configuration of the Matrix layout, however, I am assuming I am missing some important information in the calculations. Any help would be greatly appreciated.

 

Calculations:

          BudgetRevenue =

                CALCULATE( SUM( CustomerRevBudget[RevenueBudget] ) )

           ActualRevenue = SUM( CustomerActualRevenue[TotalRevenue] )

 

Rows:

         Mode

         Company

         SalesRep

Columns:

         Calendar Quarter

         Calendar Month

Values:

          BudgetRevenue (Measure)

          Actual Revenue (Measure)

 

 

Desired:

  Calendar QuarterQ1     Quarter Subtotals 
  Calendar MonthJan Feb Month Subtotals   
ModeCompanySales RepBudget RevenueActual RevenueBudget RevenueActual RevenueBudget RevenueActual RevenueBudget RevenueActual Revenue
AirCompany ASales Rep 110001500100012002000270020002700
 Company BSales Rep 220002700200040004000670040006700
 Company CSales Rep 3 3000300018003000480030004800
ExpediteCompany ASales Rep 120003000200024004000540040005400
 Company BSales Rep 24000540040008000800013400800013400
 Company CSales Rep 3 6000600036006000960060009600
TOTALS  900021600180002100027000426002700042600

 

Actual:

  Calendar QuarterQ1     Quarter Subtotals 
  Calendar MonthJan Feb Month Subtotals   
ModeCompanySales RepBudget RevenueActual RevenueBudget RevenueActual RevenueBudget RevenueActual RevenueBudget RevenueActual Revenue
AirCompany ASales Rep 120001500200012004000270040002700
  Sales Rep 22000 2000     
  Sales Rep 32000 2000     
 Company BSales Rep 14000 4000     
  Sales Rep 240002700400040008000670080006700
  Sales Rep 34000 4000     
 Company CSales Rep 13000 3000     
  Sales Rep 23000 3000     
  Sales Rep 330003000300018006000480060004800
ExpediteCompany ASales Rep 140003000400024008000540080005400
  Sales Rep 24000 4000     
  Sales Rep 34000 4000     
 Company BSales Rep 18000 8000     
  Sales Rep 2800054008000800016000134001600013400
  Sales Rep 38000 8000     
 Company CSales Rep 16000 6000     
  Sales Rep 26000 6000     
  Sales Rep 36000600060003600120009600120009600
TOTALS  8100021600690002100054000426005400042600

2 Replies

  • Anonymous's avatar
    Anonymous
    Not applicable

    ... and so, you certainly think that somebody will tell you what's wrong without having any idea whatsoever about what your model looks like? :) Well, miracles do happen sometimes but a reasonable person should never count on one.

     

    Best

    Darek

  • Anonymous's avatar
    Anonymous
    Not applicable

    Actual Revenue Data Table:

    ModeCompanySalesRepActual RevenueMonth
    AirCompany ASales Rep 1750Jan
    AirCompany ASales Rep 1750Jan
    ExpediteCompany ASales Rep 11500Jan
    ExpediteCompany ASales Rep 11500Jan
    AirCompany ASales Rep 1600Feb
    AirCompany ASales Rep 1600Feb
    ExpediteCompany ASales Rep 11200Feb
    ExpediteCompany ASales Rep 11200Feb
    AirCompany BSales Rep 21350Jan
    AirCompany BSales Rep 21350Jan
    ExpediteCompany BSales Rep 22700Jan
    ExpediteCompany BSales Rep 22700Jan
    AirCompany BSales Rep 22000Feb
    AirCompany BSales Rep 22000Feb
    ExpediteCompany BSales Rep 24000Feb
    ExpediteCompany BSales Rep 24000Feb
    AirCompany CSales Rep 31500Jan
    AirCompany CSales Rep 31500Jan
    ExpediteCompany CSales Rep 33000Jan
    ExpediteCompany CSales Rep 33000Jan
    AirCompany CSales Rep 3900Feb
    AirCompany CSales Rep 3900Feb
    ExpediteCompany CSales Rep 31800Feb
    ExpediteCompany CSales Rep 31800Feb

     

    Revenue Budget Table:

    ModeCompanyBudget RevenueMonth
    AirCompany A1000Jan
    ExpediteCompany A2000Jan
    AirCompany A1000Feb
    ExpediteCompany A2000Feb
    AirCompany B2000Jan
    ExpediteCompany B4000Jan
    AirCompany B2000Feb
    ExpediteCompany B4000Feb
    AirCompany C Jan
    ExpediteCompany C Jan
    AirCompany C3000Feb
    ExpediteCompany C6000Feb