How to use PC00_M22_CSIM - SI data matching with SI office data

SAP Transaction Code - Details

• Transaction Code: PC00_M22_CSIM

  Description: SI data matching with SI office data

  Release: S/4HANA and ECC 6

• • Program: RPLOBSJ0

    Screen: 1000

    Authorization Object:

  • Development Package: PC22

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: PC00_M22_CSIM - SI data matching with SI office data

  
  Overview: 
  PC00_M22_CSIM is a SAP transaction code used to match data from the Social Insurance Office (SI office) with the data stored in the SAP system. This transaction code is used to ensure that the data stored in the SAP system is up-to-date and accurate. 
  
  Functionality: 
  The PC00_M22_CSIM transaction code allows users to compare and match data from the SI office with the data stored in the SAP system. This ensures that the data stored in the SAP system is up-to-date and accurate. The transaction code also allows users to view any discrepancies between the two sets of data and make corrections as needed. 
  
  Step-by-step How to Use: 
  1. Enter the PC00_M22_CSIM transaction code into the command field. 
  2. Select “Execute” to open the SI Data Matching with SI Office Data screen. 
  3. Select “Start” to begin comparing and matching data from the SI office with the data stored in the SAP system. 
  4. Review any discrepancies between the two sets of data and make corrections as needed. 
  5. Select “Save” to save any changes made. 
  6. Select “Back” to return to the previous screen or “Exit” to exit out of the transaction code. 
  
  Other Recommendations: 
  It is recommended that users regularly use this transaction code to ensure that their data stored in SAP is up-to-date and accurate. Additionally, users should be aware of any changes made by their organization that could affect their data stored in SAP, such as changes in personnel or organizational structure, and use this transaction code to update their data accordingly.