FSH_ARUNITA - Insight to Action

SAP Transaction Code - Details

• Transaction Code: FSH_ARUNITA

  Description: Insight to Action

  Release: S/4HANA and ECC 6

• • Program: FSH_ARUN_ITA

    Screen: 1000

    Authorization Object: FSH_ITAARN

  • Development Package: FSH_ARUN_WORKBENCH

    Package Description: ARun Workbench

    Parent Package: FSH_ARUN_MAIN

  • Module/Component: LO-RFM-ARN

    Description: Order Allocation Run

Smart SAP Assistant

• SAP Tcode: FSH_ARUNITA - Insight to Action

  
  Overview:
  FSH_ARUNITA is a SAP transaction code used to provide insight into the performance of an organization’s accounts receivable unit. It provides a comprehensive overview of the accounts receivable unit’s performance, including the number of invoices, payment terms, and overdue payments. This transaction code is part of the SAP Financial Services (FSH) module. 
  
  Functionality: 
  FSH_ARUNITA provides a comprehensive overview of an organization’s accounts receivable unit. It allows users to view the number of invoices, payment terms, and overdue payments. It also provides insight into the performance of the accounts receivable unit by displaying key performance indicators such as average days to pay and total overdue payments. Additionally, it allows users to drill down into specific accounts receivable units to gain further insight into their performance. 
  
  Step-by-step How to Use: 
  1. Log in to SAP and navigate to the FSH_ARUNITA transaction code. 
  2. Select the desired accounts receivable unit from the list of available units. 
  3. View the overview of the selected unit’s performance, including the number of invoices, payment terms, and overdue payments. 
  4. Drill down into specific accounts receivable units to gain further insight into their performance. 
  5. Generate reports based on the data collected from FSH_ARUNITA for further analysis and decision making. 
  
  Other Recommendations: 
  It is recommended that users regularly review their accounts receivable unit’s performance using FSH_ARUNITA in order to identify any potential issues or areas for improvement. Additionally, users should use the data collected from FSH_ARUNITA to generate reports for further analysis and decision making.