How to use RTCFUI - Charg. flex. de l'ensemble don.init.

SAP Transaction Code - Details

• Transaction Code: RTCFUI

  Description: Charg. flex. de l'ensemble don.init.

  Release: S/4HANA only

• • Program: SAPLRTC_SU

    Screen: 2000

    Authorization Object:

  • Development Package: FINS_RTC_DC

    Package Description: Real-Time Consolidation: Data Collection

    Parent Package: FINS_RTC

  • Module/Component: FIN-RTC

    Description: Real-Time Consolidation

Smart SAP Assistant

• SAP Tcode: RTCFUI - Charg. flex. de l'ensemble don.init.

  
  Overview: 
  RTCFUI is a SAP transaction code used to upload initial datasets into the system. It is part of the SAP Business Suite and is used to facilitate the transfer of data from external sources into the system. 
  
  Functionality: 
  RTCFUI allows users to upload initial datasets into the system in a flexible manner. It enables users to define the structure of the dataset, as well as the data types and formats that will be used for the upload. The transaction code also allows users to define how the data should be processed and stored in the system. 
  
  Step-by-step How to Use: 
  1. Log into your SAP system and enter transaction code RTCFUI. 
  2. Select the source of your dataset (e.g. file, database, etc.). 
  3. Define the structure of your dataset (e.g. columns, data types, etc.). 
  4. Select the format of your dataset (e.g. CSV, XML, etc.). 
  5. Define how you want your data to be processed and stored in the system (e.g. validation rules, storage location, etc.). 
  6. Upload your dataset into the system by clicking “Upload” button. 
  7. Check if your dataset has been successfully uploaded by clicking “Check” button. 
  8. Once you have confirmed that your dataset has been successfully uploaded, click “Save” button to save it in the system. 
  
  Other Recommendations: 
  It is recommended that users take extra caution when uploading datasets into the system using RTCFUI transaction code as incorrect or incomplete datasets can lead to errors or unexpected results in the system. It is also recommended that users test their datasets before uploading them into the system to ensure that they are valid and complete.