How To Fix CM_EHFND_REQ_EXT_IMP004 - Data on sheet "&3", row &1, column "&2" is not valid for import

SAP Error Message - Details

• Message type: E = Error

• Message class: CM_EHFND_REQ_EXT_IMP - Message Class For External Content Providers Import

• Message number: 004

• Message text: Data on sheet "&3", row &1, column "&2" is not valid for import

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message CM_EHFND_REQ_EXT_IMP004 - Data on sheet "&3", row &1, column "&2" is not valid for import ?

  The SAP error message CM_EHFND_REQ_EXT_IMP004 indicates that there is an issue with the data being imported into the system. Specifically, it states that the data on a specified sheet, row, and column is not valid for import. This error typically occurs during data import processes, such as when using tools like SAP Data Services, SAP S/4HANA Migration Cockpit, or other data upload methods.
  Cause:
  
  Data Format Issues: The data in the specified cell may not conform to the expected format. For example, if a date is expected but a string is provided, or if a numeric value is expected but a text value is present.
  Invalid Values: The value in the cell may not be valid according to the business rules or constraints defined in the SAP system. For instance, if a specific code or identifier is expected but an incorrect one is provided.
  Missing Required Fields: If the import process requires certain fields to be filled and they are left blank, this can trigger the error.
  Data Type Mismatch: The data type of the value being imported may not match the data type expected by the target field in SAP.
  Incorrect Mapping: The mapping of the source data to the target fields in SAP may be incorrect, leading to invalid data being placed in the wrong fields.
  
  Solution:
  
  Check Data Format: Review the data in the specified row and column to ensure it matches the expected format. For example, ensure dates are in the correct format (e.g., YYYY-MM-DD) and numbers do not contain invalid characters.
  Validate Values: Cross-check the values against the valid options or codes defined in the SAP system. Ensure that all values are permissible and exist in the relevant master data.
  Fill Required Fields: Ensure that all mandatory fields are filled in the import file. If any required fields are missing, add the necessary data.
  Review Data Types: Make sure that the data types in the import file match the expected data types in SAP. For example, ensure that numeric fields contain only numbers.
  Correct Mapping: Verify that the mapping of the source data to the target fields in SAP is correct. Adjust the mapping if necessary to ensure that data is placed in the appropriate fields.
  Use Validation Tools: If available, use any validation tools provided by SAP to check the data before import. This can help identify issues early in the process.
  
  Related Information:
  
  SAP Documentation: Refer to the official SAP documentation for the specific module or tool you are using for data import. This documentation often includes guidelines on data formats, required fields, and valid values.
  Error Logs: Check the error logs or detailed error messages provided by the import tool for more context on the issue.
  SAP Community: Engage with the SAP Community forums or support channels for additional insights and assistance from other users who may have encountered similar issues.
  Testing: Before performing a full import, consider testing with a small subset of data to identify and resolve issues without affecting the entire dataset.
  
  By following these steps, you should be able to identify the cause of the error and implement the necessary corrections to successfully import your data into SAP.