FBDI Error Handling Options

Here are some common error handling options and best practices when working with FBDI:

1. Data Validation Rules: Before data is even imported, it’s crucial to define and enforce data validation rules in your FBDI templates. These rules help catch data errors and inconsistencies at the earliest stage, preventing them from being imported in the first place.

2. Pre-Import Validation: Run pre-import validation processes to check data integrity and adherence to business rules. Oracle Fusion provides tools and reports to help identify potential issues before initiating the import.

3. Error Messages: Configure error messages that provide clear and actionable information when issues are encountered. Make sure error messages are meaningful and easy to understand, allowing users to quickly identify the problem.

4. Error Logs: FBDI generates error log files during the import process. These logs contain detailed information about the errors encountered. Users can review these logs to identify the specific records or fields causing issues.

5. Retry Mechanism: Implement a retry mechanism for records that encounter transient errors. Transient errors might be caused by network issues or temporary system outages. A retry mechanism allows the import process to reattempt the import of failed records automatically.

6. Manual Correction: For records with errors that cannot be resolved automatically, provide guidance to users on how to manually correct the data. This may involve reviewing and updating the spreadsheet template and then reimporting the corrected data.

7. Bulk Reversal: In some cases, it may be necessary to reverse or delete a batch of records that were imported with critical errors. Ensure that your Oracle Fusion instance supports bulk reversal or deletion processes for such situations.

8. Exception Handling: Implement exception handling processes for scenarios where data cannot be imported due to systemic issues. Define procedures for addressing these exceptions, including communication with IT support or Oracle support if necessary.

9. Training and Documentation: Provide training to users who are responsible for data imports. Ensure they are familiar with the error handling procedures and have access to comprehensive documentation on how to resolve common issues.

10. Regular Monitoring: Continuously monitor the data import process to identify patterns of recurring errors. This allows you to proactively address root causes and improve data quality over time.

11. Audit Trail: Maintain an audit trail of all data import activities, including details of errors encountered, corrections made, and actions taken. This audit trail can be useful for compliance and auditing purposes.

12. User Support: Offer a support mechanism or helpdesk for users who encounter issues during the data import process. Promptly respond to user inquiries and provide guidance on error resolution.