Problem statement:
Before users trust FDI, we have to show its numbers match OTBI and Fusion. That reconciliation is manual, slow, and not always straightforward:
- OTBI does not always have a clean one-to-one subject area match with FDI.
- When the numbers don't tie out, the cause is usually something like a back-dated transaction or an FDI restriction (for example, invoices without a payment schedule are ignored by FDI). These are all valid reasons, but each one takes time to track down.
- FDI has a Data Validation feature but it requires manual effort and does not have 100% coverage.
Proposed solution:
An AI-powered tool inside FDI that compares FDI data to the source and explains the likely reason for any mismatch. Most discrepancies come down to a handful of recurring causes, so a tool that recognizes those patterns and points to the probable one would save a lot of time and help customers trust the data much earlier. This could be added as an enhancement to the already existing FDI data validation tool.
