How To Fix /SAPAPO/ESPP_PR434 - MSE is too high

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/ESPP_PR -

• Message number: 434

• Message text: MSE is too high

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/ESPP_PR434 - MSE is too high ?

  The SAP error message /SAPAPO/ESPP_PR434 MSE is too high typically occurs in the context of SAP Advanced Planning and Optimization (APO), particularly when dealing with planning scenarios that involve demand planning or supply network planning. The error indicates that the Mean Squared Error (MSE) for a forecast is too high, which suggests that the forecast accuracy is not acceptable based on the defined thresholds.
  Cause:
  
  Poor Forecasting Model: The forecasting model used may not be suitable for the data, leading to inaccurate predictions.
  Data Quality Issues: Inaccurate, incomplete, or inconsistent historical data can lead to poor forecasting results.
  Seasonality or Trends: If the data has strong seasonal patterns or trends that are not being captured by the forecasting model, it can result in high MSE.
  Parameter Settings: The parameters set for the forecasting model may not be optimal, leading to poor performance.
  Outliers: The presence of outliers in the historical data can skew the forecast results.
  
  Solution:
  
  Review Forecasting Model: Analyze the forecasting model being used and consider switching to a different model that may better fit the data characteristics.
  Data Cleansing: Ensure that the historical data is clean, complete, and consistent. Remove or adjust outliers as necessary.
  Adjust Parameters: Review and adjust the parameters of the forecasting model to improve accuracy. This may involve tuning settings related to seasonality, trend, and other factors.
  Use Advanced Techniques: Consider using advanced forecasting techniques or algorithms that can better capture complex patterns in the data.
  Monitor and Adjust: Continuously monitor the forecast accuracy and make adjustments as needed. Implement a feedback loop to refine the forecasting process over time.
  Consult Documentation: Refer to SAP documentation or support for specific guidelines on handling MSE thresholds and improving forecast accuracy.
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional guidance.
  Training and Best Practices: Consider training for users on best practices in demand planning and forecasting within SAP APO.
  Community Forums: Engage with SAP community forums or user groups to share experiences and solutions related to this error.
  
  By addressing the underlying causes and implementing the suggested solutions, you should be able to resolve the /SAPAPO/ESPP_PR434 MSE is too high error and improve the forecasting accuracy in your SAP APO environment.