Editorial draft available to read. Factual and language review is pending. Examples are illustrative.
Decision and method
Build fictional data representing realistic structure, relationships and exceptions without reusing customer identities. Include varied formats, optional fields and relevant business states. Document the case covered by each record; a collection of invented names without associated scenarios does not demonstrate that the integration can support the actual operational process.
Illustrative example
Illustrative example: the set includes a company with two contacts, an order with a valid zero amount, another missing currency and a timestamp near a date boundary. Each record has a different expected outcome. Recipients and attachments are test fixtures so execution cannot accidentally reach an actual customer's account or mailbox.
Acceptance check
Compare results with explicit expectations and preserve the dataset version. Add cases when new defects emerge without changing every record simultaneously. Accept when rerunning the test produces interpretable results, representativeness limits are clear and negative cases fail for the intended reason rather than an unrelated configuration or connectivity problem.
Key takeaways
- Fictional data becomes useful when each record tests a concrete operational condition.