How to use N1_TEST_PG - Call Planning Grid via Test Report

SAP Transaction Code - Details

• Transaction Code: N1_TEST_PG

  Description: Call Planning Grid via Test Report

  Release: ECC 6 only

• • Program: RN1_TEST_PG

    Screen: 1000

    Authorization Object:

  • Development Package:

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: N1_TEST_PG - Call Planning Grid via Test Report

  
  Overview:
  N1_TEST_PG is a SAP transaction code used to call the Planning Grid via Test Report. This transaction code is used to create a test report for the planning grid. It allows users to view and analyze the data in the planning grid in a more efficient way. 
  
  Functionality:
  The N1_TEST_PG transaction code enables users to create a test report for the planning grid. This report can be used to view and analyze the data in the planning grid in a more efficient way. The report can be used to identify any discrepancies or errors in the data, as well as to identify any potential areas of improvement. 
  
  Step-by-step How to Use:
  1. Enter the transaction code N1_TEST_PG into the command field. 
  2. Select the appropriate planning grid from the list of available grids. 
  3. Select the appropriate parameters for the test report, such as date range, currency, etc. 
  4. Click “Execute” to generate the test report. 
  5. Review and analyze the data in the test report to identify any discrepancies or errors in the data, as well as any potential areas of improvement. 
  6. Make any necessary changes or adjustments based on your findings from the test report. 
  7. Save your changes and exit out of the transaction code. 
  
  Other Recommendations:
  It is recommended that users regularly use this transaction code to generate test reports for their planning grids in order to ensure that their data is accurate and up-to-date. Additionally, users should review and analyze their test reports regularly in order to identify any potential areas of improvement or discrepancies in their data.