How To Fix S03554 - Failed to save aggregates for week with the daz &1 in the database


S03554 - Overview

  • Message type: E = Error

  • Message class: S03 - Messages for Enjoy TCC Monitors, July 20, 1999

  • Message number: 554

  • Message text: Failed to save aggregates for week with the daz &1 in the database

  • Show details Hide details
  • What causes this issue?

    In the context of creating weekly aggregates, the system cannot store
    the aggregates for the week in which the day &V1& lies . This is most
    likely due to a database problem.

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

    System Response

    How to fix this error?

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message S03554 - Failed to save aggregates for week with the daz &1 in the database ?
    The SAP error message S03554, which indicates "Failed to save aggregates for week with the date &1 in the database," typically occurs in the context of SAP BW (Business Warehouse) or SAP BI (Business Intelligence) when there is an issue with the data aggregation process. This error can arise due to various reasons, including data inconsistencies, database issues, or configuration problems.
    Causes:
    
    Data Inconsistencies: There may be inconsistencies in the data being processed, such as missing or incorrect data records.
    Database Locking Issues: The database might be locked by another process, preventing the aggregation from being saved.
    Insufficient Authorizations: The user executing the aggregation may not have the necessary authorizations to write to the database.
    Technical Issues: There could be technical issues with the database itself, such as corruption or connectivity problems.
    Configuration Errors: Incorrect settings in the InfoCube or aggregation settings can lead to this error.
    
    Solutions:
    
    Check Data Consistency: Review the data being processed for any

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