How To Fix RSAN_RT310 - Standard deviation: &1

RSAN_RT310 - Overview

• Message type: E = Error

• Message class: RSAN_RT - Messages for Runtime Analysis

• Message number: 310

• Message text: Standard deviation: &1

What causes this issue?

The standard deviation gives the average error in the estimation of the
dependent variable x0 produced using the regression equation. To be
able to assess the level of the standard deviation, you can place it
into a relationship with the mean value x0 (XAVG0). If the mean value
is 10 for x0 and there is a standard deviation of 1, then the standard
deviation of the estimation is 10%.

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSAN_RT310 - Standard deviation: &1 ?

  The SAP error message RSAN_RT310, which indicates an issue with the standard deviation calculation in the context of SAP BW (Business Warehouse) or SAP BI (Business Intelligence), typically arises during the execution of queries or data processing tasks. The message format includes a placeholder (&1) that usually provides additional context or details about the specific issue encountered.
  
  Cause:
  The error can be caused by several factors, including:
  
  Data Quality Issues: Missing or invalid data in the dataset being processed can lead to calculation errors.
  Configuration Problems: Incorrect settings in the InfoObject or InfoProvider that is being queried can result in issues with statistical calculations.
  Aggregation Issues: If the data is not aggregated correctly before the standard deviation calculation, it can lead to errors.
  Technical Issues: Bugs or limitations in the SAP BW system or the specific version being used may also contribute to this error.
  
  
  Solution:
  To resolve the RSAN_RT310 error, consider the following steps:
  
  
  Check Data Quality:
  
  Review the