How to use GC99 - Consolidation Test Data

SAP Transaction Code - Details

• Transaction Code: GC99

  Description: Consolidation Test Data

  Release: S/4HANA and ECC 6

• • Program: SAPMF10X

    Screen: 1

    Authorization Object:

  • Development Package: FK

    Package Description: FI-LC Consolidation

    Parent Package: APPL_NU

  • Module/Component: FI-LC-LC

    Description: Basic Functions

Smart SAP Assistant

• SAP Tcode: GC99 - Consolidation Test Data

  
  Overview:
  GC99 is a SAP transaction code used to create test data for consolidation. It is used to create a test environment for the consolidation process, allowing users to test the process without affecting the actual data. 
  
  Functionality: 
  GC99 allows users to create a test environment for consolidation. This includes creating test data, such as company codes, cost centers, and other objects. The test data can then be used to simulate the consolidation process and ensure that it works correctly. 
  
  Step-by-step How to Use: 
  1. Enter transaction code GC99 in the command field. 
  2. Select the company code you want to use for the test data. 
  3. Select the objects you want to create for the test data (e.g., cost centers, profit centers, etc.). 
  4. Enter the number of objects you want to create for each object type. 
  5. Click “Execute” to generate the test data. 
  6. Check the results of the test data generation in the log window. 
  7. If there are any errors, correct them and re-execute the transaction code until all errors are resolved. 
  8. Once all errors are resolved, you can use the generated test data for consolidation testing purposes. 
  
  Other Recommendations: 
  It is recommended that users delete any generated test data after they have finished testing, as it can take up unnecessary space in the system and can cause confusion if left in place. Additionally, it is important to ensure that all generated test data is accurate and up-to-date before using it for testing purposes, as incorrect or outdated data can lead to inaccurate results during testing.