How To Fix RSPLF344 - Mean squared error (MSE): &1

RSPLF344 - Overview

• Message type: E = Error

• Message class: RSPLF - Planning Framework

• Message number: 344

• Message text: Mean squared error (MSE): &1

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 RSPLF344 - Mean squared error (MSE): &1 ?

  The SAP error message RSPLF344, which refers to "Mean squared error (MSE): &1," typically occurs in the context of SAP BW (Business Warehouse) or SAP BW/4HANA when dealing with planning functions or data modeling. This error indicates that there is an issue with the mean squared error calculation, which is often used in forecasting or planning scenarios.
  
  Cause:
  The error message RSPLF344 can be caused by several factors, including:
  
  Data Quality Issues: Missing or incorrect data in the InfoProvider or data source can lead to inaccurate calculations of MSE.
  Modeling Errors: Incorrectly defined planning functions or queries that do not align with the underlying data model.
  
  Configuration Issues: Problems with the configuration of the planning environment, such as incorrect settings in the planning sequence or planning function.
  Insufficient Data: Not enough historical data to perform the calculations, leading to unreliable MSE results.
  
  
  Solution:
  To resolve the RSPLF344 error, consider the following steps:
  
  
  Check Data Quality:
  
  Ensure that the data in