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  1. SAP Glossary
  2. Business Consolidation
  3. breakdown category


What is breakdown category in SAP FIN-SEM-BCS - Business Consolidation?


SAP Term: breakdown category

  • Component: FIN-SEM-BCS

  • Component Name: Business Consolidation

  • Description: Determines which subassignments are to be made. The following subassignments are supported: Partner unit Transaction type Transaction currency Unit of measure Investee unit Year of acquisition, period of acquisition You can also define additional subassignments. &EXAMPLE& The subassignment "partner unit" for receivables and payables items is required to perform the elimination of interunit payables and receivables.


Smart SAP Assistant

  • Key Concepts: 
    Breakdown category is a feature of the Business Consolidation component of SAP's Financial Services (FIN-SEM-BCS) module. It allows users to break down financial data into categories, such as cost centers, profit centers, and business areas. This enables users to analyze their financial data more accurately and efficiently. 
    
    How to use it: 
    To use the breakdown category feature, users must first define the categories they want to use. This can be done in the Business Consolidation configuration settings. Once the categories are defined, users can assign them to their financial data. This will allow them to view and analyze their data in a more organized manner. 
    
    Tips & Tricks: 
    When defining categories for the breakdown category feature, it is important to consider how the data will be used. For example, if the data will be used for reporting purposes, it may be beneficial to create categories that are specific to the type of report being generated. This will make it easier to generate accurate reports. 
    
    Related Information: 
    The breakdown category feature is closely related to other features of the Business Consolidation component, such as consolidation groups and currency translation. These features can be used in conjunction with the breakdown category feature to further analyze financial data.
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