How To Fix AIS_STDREP061 - No outliers were found for the key date


SAP Error Message - Details

  • Message type: E = Error

  • Message class: AIS_STDREP - Messages for Standard Reporting on Results Database

  • Message number: 061

  • Message text: No outliers were found for the key date

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message AIS_STDREP061 - No outliers were found for the key date ?

    The SAP error message AIS_STDREP061: No outliers were found for the key date typically occurs in the context of the SAP Analytics Cloud (SAC) or SAP BusinessObjects when performing data analysis or reporting. This message indicates that the system did not identify any outliers in the dataset for the specified key date.

    Cause:

    1. Data Characteristics: The dataset for the specified key date may not contain any values that deviate significantly from the norm, leading to no outliers being detected.
    2. Threshold Settings: The thresholds or criteria set for identifying outliers may be too strict, resulting in no data points being classified as outliers.
    3. Insufficient Data: There may not be enough data points for the key date to perform a meaningful outlier analysis.
    4. Data Quality Issues: The data may have inconsistencies or errors that prevent the identification of outliers.

    Solution:

    1. Review Data: Check the dataset for the key date to ensure that it contains sufficient and relevant data points. Look for any anomalies or patterns that might indicate the presence of outliers.
    2. Adjust Thresholds: If applicable, consider adjusting the thresholds or criteria used for outlier detection to be less strict, allowing for a broader range of values to be considered.
    3. Increase Data Volume: If the dataset is too small, try to include more data points or extend the date range to provide a more comprehensive analysis.
    4. Data Cleansing: Ensure that the data is clean and free from errors. Address any data quality issues that may affect the analysis.
    5. Consult Documentation: Refer to SAP documentation or support resources for specific guidance on configuring outlier detection settings.

    Related Information:

    • Outlier Detection: Understanding the methods and algorithms used for outlier detection can help in configuring the analysis correctly.
    • SAP Analytics Cloud: Familiarize yourself with the features and settings available in SAP Analytics Cloud, especially those related to data modeling and analysis.
    • SAP Community: Engage with the SAP Community forums for insights and solutions from other users who may have encountered similar issues.

    If the problem persists after trying the above solutions, consider reaching out to SAP support for further assistance.

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