Essbase : Order evalution with dynamic Calc : Account x Scenario

Hi everybody,
I'm trying to calculate a variation N / N-1 in % for All Accounts.
basically : %/ N-1 = (Actual- Actual N-1) / Actual N-1 - I create a scenario.
I create a scenario %_N_1 which is Dynamic Calc.
"%_N_1" = ("ACTUAL" - @MDSHIFT( "ACTUAL" , -1 , "Year" , ))/@MDSHIFT( "ACTUAL" , -1 , "Year" , )*100;
But with agregated Accounts (which are dynamic calc also), Essbase sums the % ... which is wrong !!!
Question : How could we set the priority between Scenario and Account for Dynamic Calculation.
regards,
ps : I want not to put this calculation in Financial Reporting, because there are a lot of reports that use this measure : %_N_1 !

Two-pass Calc
You should basically put this on every formula that is a % to make sure it happens after the aggregation stuff.
It get's tricky if you did two-pass on two pass but I believe you aren't using two-pass so you should be good to go

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    - Essbase stores data in one of two types of files - the Index file and the Page file. (there can be many of each type of file, depending on how much data is stored in your cube)
    - The index file stores all of the combinations of sparse members (where there is data). Think of each sparse dimension as a column in the index file.
    - The page file contains "blocks" that are made up of your dense dimension members. Each "cell" in a block is 8 bytes. (a cell being a single combination of members from each dense dimension)
    - Each row in your index file points to one and only one block. (this is why you need one member from every dimension to get to a data value)
    So let's say we have three members in one of our sparse dimensions. For the sake of simplicity, let's say this is the only sparse dimension in the cube.
    - Member "A" is stored.
    - Member "B" is stored.
    - Member "C" is a dynamic calc equal to "A" - "B".
    Question - if you retrieve on member "C", how many blocks does Essbase have to pull into memory? 2 (the blocks for A and B), plus it has to create a block in memory for member "C". (at least I think it creates a block in memory . . . . ) Either way, that's a lot of I/O, relatively speaking.
    If "C" were calculated in batch and stored, the same retrievel would only have to pull a single block into memory - the stored block for C. This is less I/O.
    So why are some dynamic sparse calcs bad and others aren't? It all comes down to how many blocks the retrieval forces Essbase to pull into memory. (FYI this "memory" is really your database caches)
    This is why sparse dynamic calcs like variance scenarios are common. A sparse dynamic calc that compares Actual to Budget doesn't pull a lot of blocks into memory. However, if you set a sparse parent to be dynamic, and it had 100 children, this would be pretty bad for performance.
    If you can visualize this concept, you can performance tune a BSO cube. It's all about I/O.
    Hope this helps,
    - Jake

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