How To Fix /SAPAPO/FCST250 - Calculation of forecast error MSE terminated due to field overflow

/SAPAPO/FCST250 - Overview

• Message type: E = Error

• Message class: /SAPAPO/FCST -

• Message number: 250

• Message text: Calculation of forecast error MSE terminated due to field overflow

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 /SAPAPO/FCST250 - Calculation of forecast error MSE terminated due to field overflow ?

  The SAP error message /SAPAPO/FCST250 indicates that there was an issue during the calculation of the Mean Squared Error (MSE) for forecast accuracy in the Advanced Planning and Optimization (APO) module. The specific error "terminated due to field overflow" suggests that the calculation resulted in a value that exceeded the maximum limit for the data type being used.
  Causes:
  
  Data Type Limitations: The MSE calculation may be using a data type that cannot accommodate the size of the resulting value, leading to an overflow.
  Large Data Volume: If the dataset being processed is particularly large or contains extreme values, it can lead to calculations that exceed the limits of the data type.
  Incorrect Configuration: There may be configuration issues in the forecasting settings or the way the data is being processed.
  Data Quality Issues: Outliers or erroneous data points in the historical data can lead to unexpected results during calculations.
  
  Solutions:
  
  Check Data Types: Review the data