How to use P01A_VM01 - Create Dataset

SAP Transaction Code - Details

• Transaction Code: P01A_VM01

  Description: Create Dataset

  Release: S/4HANA and ECC 6

  Menu Path:

  • Human Resources > Personnel Management > Pension Scheme > Company Pension Scheme (Germany) > Subsequent Activities > Actuarial Interface > Create Notifications

• • Program: RPCWVSD1

    Screen: 1000

    Authorization Object:

  • Development Package: P01A

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: P01A_VM01 - Create Dataset

  
  Overview:
  The SAP transaction code P01A_VM01 is used to create a dataset in the SAP system. This dataset can be used to store and manage data related to a particular business process. The dataset can be used for reporting, analysis, and other purposes. 
  
  Functionality: 
  The P01A_VM01 transaction code allows users to create a dataset in the SAP system. The dataset can be used to store and manage data related to a particular business process. The dataset can be used for reporting, analysis, and other purposes. The data stored in the dataset can be accessed by other users in the system. 
  
  Step-by-step How to Use: 
  1. Log into the SAP system using your user credentials. 
  2. Enter the transaction code P01A_VM01 in the command field. 
  3. Enter the name of the dataset you want to create in the “Dataset Name” field. 
  4. Enter the description of the dataset in the “Description” field. 
  5. Select the type of data you want to store in the dataset from the “Data Type” drop-down menu. 
  6. Select the access rights for the dataset from the “Access Rights” drop-down menu. 
  7. Click on “Create” to create the dataset. 
  8. The newly created dataset will appear in the list of datasets in the system. 
  
  Other Recommendations: 
  It is recommended that users take care when creating datasets as they can contain sensitive information that should not be accessible by unauthorized users. It is also recommended that users regularly review and update their datasets to ensure that they are up-to-date and accurate.