How to use /CUM/ANALYSIS - CU: Compare Plan vs. Actual Costs


SAP Transaction Code - Details

  • Transaction Code: /CUM/ANALYSIS

    Description: CU: Compare Plan vs. Actual Costs

    Release: S/4HANA and ECC 6

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    • Program: /CUM/ANALYSIS

      Screen: 1000

      Authorization Object:

    • Development Package: /CUM/REPORT

      Package Description:

      Parent Package: /CUM/MAIN

    • Module/Component: PM-WOC-MO

      Description: Maintenance Orders


Smart SAP Assistant

  • SAP Tcode: /CUM/ANALYSIS - CU: Compare Plan vs. Actual Costs
    
    Overview:
    The SAP transaction code /CUM/ANALYSIS - CU Compare Plan vs. Actual Costs is used to compare planned and actual costs in the Controlling (CO) module of the SAP system. This transaction code allows users to analyze and compare the planned and actual costs of a particular cost element or cost center. 
    
    Functionality:
    This transaction code enables users to compare the planned and actual costs of a particular cost element or cost center. It also allows users to view the differences between the two values, as well as any variances that may exist. Additionally, users can use this transaction code to analyze the differences between the planned and actual costs in order to identify areas of improvement or potential savings. 
    
    Step-by-step How to Use:
    1. Enter the transaction code /CUM/ANALYSIS - CU Compare Plan vs. Actual Costs into the command field. 
    2. Select the cost element or cost center that you would like to analyze. 
    3. Enter the period for which you would like to compare the planned and actual costs. 
    4. Select the type of analysis you would like to perform (e.g., variance analysis, trend analysis, etc.). 
    5. Select the output format for your results (e.g., table, graph, etc.). 
    6. Execute your query and view your results. 
    
    Other Recommendations:
    It is recommended that users familiarize themselves with the different types of analyses available in this transaction code before using it, as this will help them get more accurate results from their queries. Additionally, users should ensure that they are entering accurate data into their queries in order to get accurate results from their analyses.
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