How to use /SDF/CCA_COLLECT - Custom Code Analytics: collect data

SAP Transaction Code - Details

• Transaction Code: /SDF/CCA_COLLECT

  Description: Custom Code Analytics: collect data

  Release: S/4HANA and ECC 6

• • Program: /SDF/RCCA

    Screen: 1000

    Authorization Object:

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Smart SAP Assistant

• SAP Tcode: /SDF/CCA_COLLECT - Custom Code Analytics: collect data

  
  Overview:
  /SDF/CCA_COLLECT is a SAP transaction code used to collect data for Custom Code Analytics. It is used to analyze the custom code of an SAP system and identify potential issues or areas of improvement. This transaction code is part of the SAP Solution Manager, which is a suite of tools used to manage and monitor SAP systems. 
  
  Functionality: 
  The /SDF/CCA_COLLECT transaction code allows users to collect data from an SAP system and store it in the Custom Code Analytics database. This data can then be used to analyze the custom code of the system and identify potential issues or areas of improvement. The collected data includes information about the custom code, such as its size, complexity, and usage frequency. 
  
  Step-by-step How to Use: 
  1. Log into the SAP system using the /SDF/CCA_COLLECT transaction code. 
  2. Select the system you want to analyze from the list of available systems. 
  3. Select the type of data you want to collect (e.g., size, complexity, usage frequency). 
  4. Select the objects you want to analyze (e.g., programs, function modules, etc.). 
  5. Click “Collect” to start collecting data from the selected objects. 
  6. Once the data has been collected, it will be stored in the Custom Code Analytics database for further analysis. 
  
  Other Recommendations: 
  It is recommended that users regularly use /SDF/CCA_COLLECT to collect data from their SAP systems in order to ensure that their custom code is up-to-date and free from any potential issues or areas of improvement. Additionally, users should also use other tools in the SAP Solution Manager suite in order to monitor their systems and ensure that they are running optimally.