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Transaction Code: POWL_EASY
Description: Creador alimentación POWL fácil
Release: S/4HANA and ECC 6
Program: POWL_EASY_BUILDER
Screen: 0
Authorization Object:
Development Package: GEN_PERSONAL_OBJECT_WORKLIST
Package Description: generic worklist
Parent Package: APB
Module/Component: BC-MUS-POW
Description: Personal Object Worklist
Overview: POWL_EASY is an SAP transaction code used to create and maintain Easy-POWL (Personal Object Work List) Feeder Builder. Easy-POWL is a tool used to create and manage personal work lists, which are lists of tasks that need to be completed. The Feeder Builder allows users to create and maintain the data sources that feed into the Easy-POWL. Functionality: The POWL_EASY transaction code allows users to create and maintain the data sources that feed into the Easy-POWL. This includes creating new data sources, editing existing data sources, and deleting data sources. The data sources can be from any application, such as SAP Business Suite, SAP NetWeaver, or third-party applications. Step-by-step How to Use: 1. Enter the transaction code POWL_EASY in the command field. 2. Select the “Create” button to create a new data source for the Easy-POWL. 3. Enter the required information for the new data source, such as name, description, and type of source. 4. Select “Save” to save the new data source. 5. To edit an existing data source, select it from the list of available sources and then select “Edit”. 6. Make any necessary changes to the existing data source and then select “Save” to save your changes. 7. To delete a data source, select it from the list of available sources and then select “Delete”. 8. Confirm that you want to delete the selected data source by selecting “Yes” in the confirmation window that appears. Other Recommendations: It is recommended that users familiarize themselves with Easy-POWL before using this transaction code as it will help them understand how to use it more effectively. Additionally, users should ensure that they have all of the necessary information before creating or editing a data source as this will help ensure accuracy and reduce errors.
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