How To Fix UJD_EXCEPTION062 - Dimension:SIGNEDDATA member:&3 is non-numerical in line &1; rejected

SAP Error Message - Details

• Message type: E = Error

• Message class: UJD_EXCEPTION - BPC: Data Manager Exception Message Class

• Message number: 062

• Message text: Dimension:SIGNEDDATA member:&3 is non-numerical in line &1; rejected

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message UJD_EXCEPTION062 - Dimension:SIGNEDDATA member:&3 is non-numerical in line &1; rejected ?

  The SAP error message UJD_EXCEPTION062 indicates that there is a problem with a specific member in a dimension of a data model, specifically that the member is non-numerical when it is expected to be numerical. This error typically occurs in the context of SAP BusinessObjects or SAP Analytics Cloud when dealing with data models, especially in planning or financial applications.
  Cause:
  
  Non-Numerical Data: The member specified in the error message (indicated by &3) is expected to contain numerical data but contains non-numerical values (e.g., text, special characters).
  Data Type Mismatch: The data type defined for the dimension does not match the actual data being loaded or processed.
  Data Source Issues: The source data may have been incorrectly formatted or may contain unexpected values that are not compatible with the expected numerical format.
  Data Transformation Errors: If there are any transformations or calculations applied to the data before it reaches this point, they may have introduced non-numerical values.
  
  Solution:
  
  Check Data Source: Review the data source to ensure that the member &3 contains only numerical values. Look for any rows that may contain text or special characters.
  Data Cleansing: If non-numerical values are found, cleanse the data by removing or correcting these values. This may involve:
  
  Converting text to numbers where applicable.
  Removing or replacing invalid entries.
  
  
  Data Type Validation: Ensure that the data type for the dimension in the data model is correctly set to accept numerical values. If necessary, adjust the data type in the model configuration.
  Review Data Load Process: If the data is being transformed or manipulated during the load process, review those steps to ensure that they are not introducing non-numerical values.
  Error Logging: Check any logs or error messages that may provide additional context about the data being processed at the time of the error.
  
  Related Information:
  
  SAP Documentation: Refer to the official SAP documentation for more details on handling data types and error messages in the specific SAP product you are using (e.g., SAP BusinessObjects, SAP Analytics Cloud).
  Community Forums: Engage with SAP community forums or support channels where similar issues may have been discussed, and solutions shared.
  Testing: After making changes, test the data load or processing again to ensure that the error has been resolved.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.