How To Fix UCF6692 - Data collection method &1: Wrong entries for inventory/supplier data


UCF6692 - Overview

  • Message type: E = Error

  • Message class: UCF6 - Messages for Consolidation of Investments

  • Message number: 692

  • Message text: Data collection method &1: Wrong entries for inventory/supplier data

  • Show details Hide details
  • What causes this issue?

    Data collection method &V1& contains entries for data stream "Inventory
    Data" and/or data stream "Supplier Data". This must be an error because
    consolidation area &V2& is not set up to eliminate interunit
    profit/loss in inventory.

    System Response

    The erroneous data streams will not be displayed. When the method is
    saved, these data streams will be removed from the database.

    How to fix this error?

    Save data collection method &V1& to ensure that your method definition
    is consistent.

    Procedure for System Administrators

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message UCF6692 - Data collection method &1: Wrong entries for inventory/supplier data ?
    The SAP error message UCF6692 indicates that there are incorrect entries in the inventory or supplier data for a specific data collection method. This error typically arises in the context of SAP's Supply Chain Management (SCM) or Advanced Planning and Optimization (APO) modules, where data collection methods are used to gather and process inventory and supplier information.
    
    Cause: The error can be caused by several factors, including: Incorrect Configuration: The data collection method may not be properly configured in the system, leading to mismatches in expected data formats or values. Invalid Data Entries: There may be invalid or inconsistent entries in the inventory or supplier data that do not conform to the expected standards or formats. Missing Data: Required fields may be missing or not filled out correctly, leading to incomplete data records. Data Type Mismatch: The data types of the entries may not match the expected types defined in the system (e.g., numeric fields containing

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