How to use SEPMH_DG_AIS_SOCC - EPM HANA DG 'AIS Soccer'

SAP Transaction Code - Details

• Transaction Code: SEPMH_DG_AIS_SOCC

  Description: EPM HANA DG 'AIS Soccer'

  Release: S/4HANA only

• • Program: SEPMH_DG_AIS_SOCCER

    Screen: 1000

    Authorization Object:

  • Development Package: S_EPM_HANA_EXT_DG_AIS_SOCC

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: SEPMH_DG_AIS_SOCC - EPM HANA DG 'AIS Soccer'

  
  Overview:
  SEPMH_DG_AIS_SOCC is a SAP transaction code used to access the EPM HANA Data Governance (DG) ‘AIS Soccer’ application. This application is used to manage and monitor the data quality of the SAP HANA database. 
  
  Functionality: 
  The EPM HANA DG ‘AIS Soccer’ application provides users with a comprehensive set of tools to monitor and manage the data quality of their SAP HANA database. It allows users to identify and correct data errors, as well as to create and maintain data quality rules. The application also provides users with an overview of their data quality status, allowing them to quickly identify any issues that need to be addressed. 
  
  Step-by-step How to Use: 
  1. Access the EPM HANA DG ‘AIS Soccer’ application by entering the transaction code SEPMH_DG_AIS_SOCC into the SAP GUI. 
  2. Select the ‘Data Quality’ tab from the main menu. 
  3. Select the ‘Data Quality Rules’ option from the left-hand menu. 
  4. Create or edit existing data quality rules as needed. 
  5. Select the ‘Data Quality Status’ option from the left-hand menu to view an overview of your data quality status. 
  6. Select the ‘Data Quality Errors’ option from the left-hand menu to view any errors that need to be corrected. 
  7. Correct any errors as needed and save your changes. 
  
  Other Recommendations: 
  It is recommended that users regularly review their data quality status using the EPM HANA DG ‘AIS Soccer’ application in order to ensure that their SAP HANA database is running optimally. Additionally, users should create and maintain data quality rules in order to ensure that their data remains accurate and up-to-date.