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

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.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

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:
  
  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.
  Threshold Settings: The thresholds or criteria set for identifying outliers may be too strict, resulting in no data points being classified as outliers.
  Insufficient Data: There may not be enough data points for the key date to perform a meaningful outlier analysis.
  Data Quality Issues: The data may have inconsistencies or errors that prevent the identification of outliers.
  
  
  Solution:
  
  Review Data: Check the dataset for the key date to ensure that it contains sufficient and relevant data points.