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Message type: E = Error
Message class: FSBP_CC_GUI - Messages for Data Cleansing Screen
Message number: 024
Message text: Data cleansing case &1 rejected
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FSBP_CC_GUI024
- Data cleansing case &1 rejected ?The SAP error message FSBP_CC_GUI024 indicates that a data cleansing case has been rejected. This error typically occurs in the context of SAP Master Data Governance (MDG) or SAP Customer Data Cloud (CDC) when there are issues with the data that is being processed.
Cause:
The rejection of a data cleansing case can be attributed to several factors, including but not limited to:
- Data Quality Issues: The data being processed may not meet the required quality standards or validation rules set in the system.
- Missing Required Fields: Essential fields that are necessary for processing the data cleansing case may be missing or incomplete.
- Business Rules Violations: The data may violate specific business rules or constraints defined in the system.
- System Configuration: There may be configuration issues in the data cleansing process or in the underlying data model.
- User Authorization: The user attempting to process the data cleansing case may not have the necessary permissions.
Solution:
To resolve the error, you can take the following steps:
- Review the Data: Check the data associated with the cleansing case for any inconsistencies, missing fields, or violations of business rules.
- Check Validation Rules: Ensure that the data complies with all validation rules defined in the system.
- Complete Required Fields: Make sure that all mandatory fields are filled out correctly.
- Consult Logs: Look at the application logs or error logs for more detailed information about why the case was rejected.
- User Permissions: Verify that the user has the appropriate authorizations to process the data cleansing case.
- Configuration Review: If necessary, review the configuration settings related to data cleansing in the SAP system to ensure they are set up correctly.
- Reprocess the Case: After addressing the issues, attempt to reprocess the data cleansing case.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to successfully process the data cleansing case.
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