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BI-IP disaggregation and copy in inverse formula

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Hi all,

I've a particular requirements from a customer.

He need to plan a KPI with integrated planning (BPC 10.1 embedded) on an aggregate level, use reverse formula to increase or decrease one of the member formula BUT MAINTAIN THE SAME VALUE OF KPI.

 

So, let me make the real case.

 

We have two member formula: working hours and numnber of meals.


The producitivity KPI is calculated as MEALS/WORKING HOURS.

 

 

Changing Productivity and leave meals static, inverse formula change number of working hours in according to new productivity. This behaviour working fine on maximum level of detail, every row in above image.



 

1.png

Now I want to insert an attribute of ITEMS, called AGGR1 and I want to plan productivity on this aggregate level.

 

 

2.png

 

 

 

Ok, now we are at the point. In standard disaggregation the 20 on AGGR1 WILL NOT COPY 20 ON ALL THE ITEMS, BUT RE-PROPORTIONATE ALL IN FUNCTION OF OLD PRODUCTIVITY.

 

1° scenario. even distribution

 

Even distribution calculate new Working Hours for the total and re-calculate single working hours equals for every item and single productivity based on the static meals and new working hours above

 

3.png

 

2° Scenario: Autoreferential distribution

The auto-referential is more complex (and efficient) but still not answer to my requirements.

It calculate the percentage of the W.H. on total, calculate the delta of the OLD total W.H. and NEW total W.H. based on new productivity (180-(1200/20)) and reproportionate both W.H. and productivity based on this delta.

           

 

4.png

 

 

 

 

Ok, what I want to obtain? This situation:


5.png



Insert 20 on aggregate dimension IT WILL BE COPYIED TO ALL DEPENDANTS ITEMS AND ONLY WORKING HOURS WILL BE RECALCULATED.

On bex query a simple inverse formula is developed

 

6.png



 

Where Meals = Pasti and Ore = Working Hours

 

How can I obtain this simple COPY ON AGGREGATE DIMENSION (possibly without FOX or Standard planning function)?

 

 

Thanks Thousands

 

R

Andrea


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