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Data Validation - Best Practices
Hello Everyone,
For those who have implemented Oracle FDI, I’m looking to understand best practices around detailed data validation to ensure data quality.
Specifically:
- How did you approach validating metrics across Subject Areas?
- Did you validate all metrics, or focus on a select set of key metrics within each pillar (e.g., HCM, SCM, ERP)?
- Were there any tools, frameworks, or methodologies that helped streamline this validation process?
Any insights, lessons learned, or examples from your experience would be greatly appreciated.
Thank you in advance!
Answers
-
Hi @Sawrub,
Please check the following blog, post & doc which might be useful.
https://blogs.oracle.com/analytics/post/fusion-data-intelligence-fdi-data-validation-feature
Leveraging Oracle Fusion Data Intelligence Data Validation Functionality — Oracle
Hope this help.
Thank you.
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Hi @ Sawrub
You can refer below KB Articles . Login into support portal and search for below KB numbers -
FDI:FDIP:FAW: Best Practices to Avoid Data Mismatch and Validation Issues [Video content] KB168876
FDI: Best Practices for Using Scheduled Data Validation and Avoiding Data Mismatches KB170739
FDI/FDIP/FAW: How To Troubleshoot Data Validation Issues [Video Content] KB39840Regards,
Arjun
1 -
There is a very nice youtube video posted by Oracle Analytics. Please refer below URL
https://youtu.be/WrduV2Uw9z0
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