How To Fix RSAU140 - Error during conversion

RSAU140 - Overview

• Message type: E = Error

• Message class: RSAU - Update rules

• Message number: 140

• Message text: Error during conversion

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?

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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 RSAU140 - Error during conversion ?

  The SAP error message RSAU140, which states "Error during conversion," typically occurs during data extraction or transformation processes, particularly when dealing with SAP's data warehousing or Business Intelligence (BI) components. This error can arise from various issues, including data type mismatches, incorrect data formats, or problems with the source data.
  Causes of RSAU140 Error
  
  
  Data Type Mismatch: The data being processed may not match the expected data type in the target field. For example, trying to convert a string to a date format that is not compatible.
  
  
  Invalid Data Format: The source data may contain invalid characters or formats that cannot be converted properly. This is common with date formats, numeric values, or special characters.
  
  
  Null or Missing Values: If the data contains null or missing values where they are not allowed, this can trigger conversion errors.
  
  
  Incorrect Mapping: The mapping between source and target fields may be incorrect, leading to conversion issues.
  
  
  Data Quality Issues: