Data validation
Checking that input meets defined rules, such as required fields, data types, ranges, and relationships between values.
On this page
Source content checked . English translation published 2026-10-27.
In business automation
Validation prevents problematic data from continuing and triggering incorrect actions. Structural checks should work alongside business rules, such as matching a product, quantity, and customer type.
Examples
These examples illustrate a possible workflow. Adapt the connections and rules to your own systems.
Business process example
Before an installation task is opened, the address, phone number, and supported service are checked. An incomplete inquiry is saved with the reason and sent for completion, while a valid inquiry is assigned an owner.
Relevant tools
- n8n
- You can build conditions and validation steps before write or send actions.
What to check
- A valid format does not prove that information is true or that the user is authorized to act on it. Separate data validation from identity verification.