How Data Values Are Derived in BPC

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  • 8/10/2019 How Data Values Are Derived in BPC

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    More documents in Enterprise Performance Management (SAP EPM)

    created by Leila Lappin on Jul 16, 2013 4:26 PM, last modified by Leila Lappin on Jul 17, 2013 5:09 PM

    In the following document, I am assuming that you are familiar with the Business Planning and Consolidation (BPC)terminology: model, dimension, context as they apply to BPC 10 and application and current view as they apply toBPC 7.5 In BPC, the data values are stored and displayed using three concepts, the account type, the storage type and thereport measure. These three factors are all covered in various documents, notes and online discussions. Thefollowing document will explain what these concepts are and how they work together to render the re sults in BPCreports. I will start by some short definitions.

    Account Type (ACCTYPE property): In BPC, there are four standard account types: INC, EXP, AST, LEQ. INC(Income), EXP (Expense) are profit and loss (P&L) accounts. AST (Asset) and LEQ (Liability and Equ ity) are balancesheet accounts. Storage type: BPC models (applications in BPC 7.5) can have two storage types, year to date (YTD) or Periodic. In aYTD storage type model, all values are considered cumulative from the start of the fiscal year to the current time period(usually month). In a periodic model, all values are considered applicable only to the current period. Mea sure s: BPC require s a dim ension called Measures. The Measures dimension allows you to change the view ofyour data between Pe riodic, Quarter-to-date (QTD), Year-to-date (YTD), or any custom view required by your business.BPC account types affect the way your data is displayed in reports based on the storage type of your model and themeasure specified in the report context. The values stored in AST and LEQ account are always YTD, irrespective of the storage type of your model. Putting itanother way, balance sheet accounts a re point accounts. The values in thes e acc ounts always appear the same wayregardless of the measures sel ected in the report context. The values stored in INC, EXP accounts are stored, depending on the storage type of the model. Subsequently, whenthe values are retrieved th ey are subject to the measure value selected in the re ports co ntext.In a YTD storage type model, P&L account type values (INC/EXP) are stored as aggregated values from the beginningof the fiscal year to the current period. This means that they are different when they are viewed in a report with aPERIODIC measure.

    Lets take a simple example to demonstrate this.P&L account, stored in YTD model, shown in a report with YTD, PERIODIC and QTD meas ures

    Jan Feb Mar Apr May Jun Jul Aug Sep

    YTD 100 250 0 300 250 450 500 400 0

    PERIODIC 100 150 -250 300 -50 200 50 -100 -400

    QTD 100 250 0 300 250 450 50 -50 -450

    As the data above show s, the values for PERIODIC and QTD measure are adjusted to reflect the YTD aggregatedvalue. To demonstrate this we can look at the values for July, Aug, SepJuly:

    YTD: 500 aggregated value (up to July)PERIODIC: July - June = 50QTD: July - June + 0 =50

    August:YTD: 400PERIODIC: August - July = -100QTD: August - July + QTD July = -50

    September YTD: 0 PERIODIC: September August = -400 QTD: September August + QTD August = -450 For more details and examples about BPC account types and their behavior please refer to the document at

    http://scn.sap.com/docs/DOC-26973

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    Like (1)

    Roberto Vidotti Jul 16, 2013 7:28 PM

    Hi Leila,thank you for this document, from now on I will recommend it to all those who regularly have doubtson how BPC works with signs, periodic and YTD and what's acctype. Kind regards Roberto

    Like (2)

    Leila Lappin Jul 16, 2013 7:40 PM (in response to Roberto Vidotti)

    Hi Vidotti,

    You are very welcome. I think this issue becomes confusing evenfor people who know BPC well. Hopefully brining it all together willhelp.

    Best Regards,Leila Lappin

    Like (1)

    Karsten Wenzel Sep 3, 2013 3:22 PM

    Hi Leila, thank you for this very helpful document. Best Regards,Karsten

    Like (1)

    Parameshwar Sangangiri Sep 28, 2013 5:39 AM

    Very helpful document!!!

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    Amit Kumar Feb 21, 2014 4:18 PM

    Hi Leila, very helpful document ! Thanks!Amit

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    Theophile Nyumuyantu Jul 7, 2014 2:04 PM

    Excellent article Leila!!! Great work as usual! Kind regards,Theo

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