How To Fix THM_CENTRAL232 - There are not enough data points available

THM_CENTRAL232 - Overview

• Message type: E = Error

• Message class: THM_CENTRAL - Central messages for E-HA

• Message number: 232

• Message text: There are not enough data points available

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 THM_CENTRAL232 - There are not enough data points available ?

  The SAP error message THM_CENTRAL232 indicates that there are not enough data points available for a specific operation or calculation in the context of SAP's Transportation Management (TM) or similar modules. This error typically arises when the system is attempting to perform a calculation or analysis that requires a certain amount of data, but the available data is insufficient.
  Causes:
  
  Insufficient Data: The most common cause is that the system does not have enough historical data points or relevant data entries to perform the required calculation.
  Data Filtering: Filters applied to the data set may be too restrictive, leading to a lack of available data points.
  
  Configuration Issues: There may be configuration settings that limit the amount of data being considered for the operation.
  Data Entry Errors: Missing or incorrect data entries in the relevant tables can lead to insufficient data points.
  Time Frame Issues: The time frame for the analysis may not cover enough data