How To Fix PAL_PRECOND_CHECK307 - Lies outside validity of assignment

SAP Error Message - Details

• Message type: E = Error

• Message class: PAL_PRECOND_CHECK - PAL precondition check messages

• Message number: 307

• Message text: Lies outside validity of assignment

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 PAL_PRECOND_CHECK307 - Lies outside validity of assignment ?

  The SAP error message "PAL_PRECOND_CHECK307 Lies outside validity of assignment" typically occurs in the context of the Predictive Analytics Library (PAL) when there is an issue with the data being processed, particularly regarding the validity of the data assignments or the time frames involved.
  Cause:
  
  Data Validity Issues: The error often arises when the data being analyzed or processed does not fall within the expected range or validity period. This could be due to missing data, incorrect timestamps, or data that is outside the defined boundaries for the analysis.
  Incorrect Configuration: The configuration settings for the predictive model or the data input parameters may not align with the data being used, leading to this error.
  Data Gaps: If there are gaps in the time series data or if the data is not continuous, it can trigger this error.
  Model Requirements: Certain predictive models may have specific requirements regarding the data format, structure, or the time frame that must be adhered to.
  
  Solution:
  
  Check Data Validity: Review the data being used for the analysis. Ensure that all required data points are present and that they fall within the expected time frame. Look for any missing values or outliers that could be causing the issue.
  Adjust Time Frames: If the analysis involves time series data, ensure that the time frames specified in the model configuration match the data being processed. Adjust the time frames if necessary.
  Review Model Configuration: Check the configuration settings of the predictive model to ensure they are correctly set up for the data being used. This includes verifying parameters such as the input data range, model type, and any other relevant settings.
  Data Preprocessing: Consider preprocessing the data to fill in gaps, remove outliers, or transform the data into a suitable format for the predictive model.
  Consult Documentation: Refer to the SAP documentation for the specific predictive model you are using to understand its requirements and constraints better.
  
  Related Information:
  
  SAP Notes and Knowledge Base Articles: Check SAP's support portal for any notes or articles related to this specific error message. There may be updates or patches that address known issues.
  Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed. Other users may have encountered the same error and can provide insights or solutions.
  SAP Help Portal: Utilize the SAP Help Portal for detailed documentation on the Predictive Analytics Library and its components, which can provide additional context and troubleshooting steps.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.