How To Fix UC750 - Error occurred during conversion from &1 to a field of type &2

UC750 - Overview

• Message type: E = Error

• Message class: UC - FI/CO Data transfer: errors during transfer

• Message number: 750

• Message text: Error occurred during conversion from &1 to a field of type &2

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 UC750 - Error occurred during conversion from &1 to a field of type &2 ?

  The SAP error message UC750 indicates that there was an issue during the conversion of data from one type to another. This typically occurs when the system is trying to convert a value from one data type (e.g., character, numeric, date) to another, and the value does not conform to the expected format or range for the target data type.
  
  Cause:
  
  Data Type Mismatch: The source data type does not match the expected target data type. For example, trying to convert a string that contains non-numeric characters into a numeric field.
  Invalid Data Format: The data being converted does not adhere to the expected format. For instance, a date string that is not in the correct format for conversion to a date type.
  Overflow or Underflow: The value being converted exceeds the limits of the target data type (e.g., trying to convert a large number into a field that can only hold smaller values).
  Null