Warehouse reference · Integration & data
Data mapping and transformation
Mapping connects fields and meanings between systems. Transformations may convert units, identifiers, statuses, formats, or structures. The source and target can use similar names while representing different business concepts.
How it works in practice
Define each field’s meaning, source, allowed values, required context, and transformation rules. Test boundary values, missing data, unknown codes, and changes to reference tables.
A warehouse example
One system’s “complete” means fully picked; another’s means dispatched. Mapping the labels directly would report shipments before the goods leave.
Illustrative scenario, not a claim about a client engagement.
What to watch for
Silent defaults can conceal important source errors. Decide which missing or unknown values should be rejected rather than converted into plausible but incorrect records.
A useful question
Which mappings require business approval rather than only technical translation?
Terminology and configuration differ by product. These notes explain general concepts and are not operating instructions for equipment, a compliance determination, or a replacement for your site’s approved procedures.
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