Data Integrity: The Foundation of Automation in 2026

Many automations fail not because the tool is bad, but because the data is bad. If the email marketing robot receives an empty "Name" field or a nickname, it sends "Hello, [Empty]." Data integrity ensures data is complete, correct, and consistent.

Data as Fuel

Think of automation as a Ferrari engine. Bad data is adulterated gasoline. The engine will choke or break.

How Jestor ensures integrity

This is where Jestor stands out by delivering the solution in practice:

  • Conditional Mandatory Fields: The system only requires Tax ID if the client type is "Company." This ensures completeness without annoying the user.
  • Type Validation: A "Number" field doesn't accept letters. A "Date" field doesn't accept "Tomorrow."
  • Strong Relations: You cannot register a sale for a non-existent client. The relational database prevents "orphans."

Frequently Asked Questions (FAQ)

Does this add red tape? It seems so at first, but it avoids hours of error correction later. MeetJestor.

Who is responsible? Everyone who enters data, but the "Process Owner" must configure the locks.

How to audit? Use filters to search for records with empty fields and fix them at the source.

Conclusion

With Jestor, it is possible to automate workflows, connect departments, and create internal systems your way, all code-free and AI-supported.

Discover Jestor and learn how to take your company's management to a new level of efficiency and integration.


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