MCSH - Call Std. Analyses of Customer Appl.

SAP Transaction Code - Details

• Transaction Code: MCSH

  Description: Call Std. Analyses of Customer Appl.

  Release: S/4HANA and ECC 6

  Menu Path:

  • Logistics > Production > Kanban > Environment > Warehouse Management > Environment > Rough workload estimate > Logistics Information System > Standard Analyses > User-Defined Application
  • Logistics > Logistics Controlling > Logistics Information System > Standard Analyses > User-Defined Application

• • Program: SAPMMCS4

    Screen: 100

    Authorization Object:

  • Development Package: MCS

    Package Description: R/3 application development: Logistics Information Warehouse

    Parent Package: APPL

  • Module/Component: LO-LIS-DC

    Description: Data Collection

Smart SAP Assistant

• SAP Tcode: MCSH - Call Std. Analyses of Customer Appl.

  
  Overview: 
  MCSH is a SAP transaction code used to call standard analyses of customer applications. It is used to analyze customer data and provide insights into customer behavior. 
  
  Functionality: 
  MCSH enables users to analyze customer data and gain insights into customer behavior. It provides a comprehensive view of customer data, including customer demographics, purchase history, and other relevant information. This information can be used to identify trends and patterns in customer behavior, as well as to identify opportunities for improvement. 
  
  Step-by-step How to Use: 
  1. Log into the SAP system and enter the transaction code MCSH. 
  2. Select the desired analysis type from the list of available options. 
  3. Enter the relevant parameters for the analysis, such as customer demographics or purchase history. 
  4. Click “Execute” to run the analysis. 
  5. Review the results of the analysis and take appropriate action based on the insights gained. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with the different types of analyses available in MCSH before running an analysis. Additionally, users should ensure that they have access to all relevant data before running an analysis, as this will ensure that the results are accurate and meaningful.