Automation glossary

Data Validation

Data validation checks that incoming data is complete, correctly formatted, and within expected values before an automation uses it.

In plain language

It stops bad data, such as a missing email or a negative quantity, from flowing into other systems.

Example

A workflow rejects a form entry when the email is invalid and asks the submitter to correct it.

Schema · Filter · Parsing · Regular Expression (Regex)

Common misconception

Validating in the form alone is not enough; data also arrives through imports, APIs, and edits that skip the form.

Implementation guidance

Validate at every entry point, check required fields and formats, decide whether to reject or quarantine bad records, and report why data failed.

Primary references

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