How To Fix PR410 - Not sufficient historical values available for model choice

PR410 - Overview

• Message type: E = Error

• Message class: PR - Forecast: Help messages

• Message number: 410

• Message text: Not sufficient historical values available for model choice

What causes this issue?

The system needs the following in order to be able to test for a
seasonal and/or trend pattern in the historical data:

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

<ZH>Test description ,,Periods/seasons required</>
Seasonal test ,,2 seasons
Trend test ,,3 periods
Seasonal trend test ,,2 seasons
Trend model with ,,3 periods + 1 season
seasonal test ,,

System Response

Neither a seasonal nor a trend test can be carried out because the
above requirements are not fulfilled.

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 PR410 - Not sufficient historical values available for model choice ?

  The SAP error message PR410, which states "Not sufficient historical values available for model choice," typically occurs in the context of predictive analytics or forecasting within SAP systems, particularly in SAP Integrated Business Planning (IBP) or SAP Advanced Planning and Optimization (APO). This error indicates that the system does not have enough historical data to generate a reliable forecast or to select an appropriate model for the data being analyzed.
  Causes:
  
  
  Insufficient Historical Data: The most common cause is that there is not enough historical data available for the specific key figure or planning object. This could be due to:
  
  Lack of data entry in the past.
  Data being archived or deleted.
  Incorrect configuration of the planning area or key figures.
  
  
  
  Data Gaps: There may be gaps in the historical data, such as missing time periods or irregular data entries, which can prevent the model from being able to analyze trends effectively.
  
  
  
  Configuration Issues: The configuration of