Transaction reconciliation
Match the routine transactions. Investigate the exceptions.
A practical starting point for your team.
Download and extract the kit. No platform account is needed to run the local validation.
Inspect the CSV inputs and the data dictionary. Every record is synthetic.
Run the Python script to execute the SQL rules against an in-memory database.
Compare the output with the expected results, then change a rule and investigate the difference.
Map the pattern to your Genedata workspace with approved sources, access controls, and a named review owner.
Acceptance checklist
- Agree the reference key, currency, and accounting cutoff.
- Confirm that an unmatched entry is never silently discarded.
- Separate exact matches from matches accepted within a tolerance.
- Require finance approval before posting any adjustment.
Production prerequisites
This small example demonstrates matching logic. Production reconciliation also needs agreed cutoffs, duplicate handling, reversals, fees, and approval controls.
Confirm source access, field mappings, retention, test coverage, error handling, and the approval workflow in your own deployment before using business data.
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