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Eden field notes / Data workflows

Data validation
before records move on.

Check incoming records against agreed rules, show exceptions, and let your team decide what gets corrected.

Discuss your data workflow

Choose one handoff.

Start where a file, form, or system passes records to another team. Name the source, destination, owner, and fields that must be present. Agree what a valid value means before writing a rule.

Check rules before transfer.

In an illustrative flow, an incoming supplier file is checked for missing identifiers, wrong date formats, duplicate rows, and values outside agreed ranges. Valid rows can move to the next step with a record of each check.

Questionable rows wait in an exception list with the original value and the rule they failed. A person checks the source, corrects the record, or rejects it. The system does not invent a replacement value.

Make retries safe.

Keep the original input, check result, reviewer decision, and transfer status together. If a transfer fails, retry only the approved rows and avoid creating duplicates. Show the owner what still needs attention.

Test with fictional rows.

Try one valid row, one missing field, one duplicate, and one corrected exception. Compare each output with a manual check before using real records. These are planning cases, not client results. Eden scopes custom work and fees through an individual proposal.