Data Cleaning: How to Standardize Information in 2026

Dirty data is the new "trash." If your database has 5 different ways to write the same city name, your sales-by-region reports will be wrong. Data Cleaning is the art of sanitizing the base so it becomes useful.

The GIGO Principle

Garbage In, Garbage Out. If data entry isn't standardized, the output (Dashboard) will be useless.

How Jestor keeps data clean

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

  • Structured Fields: Instead of letting the user type the state, use a mandatory Dropdown. This eliminates typos.
  • Formatting Automation: User typed the phone without area code? Automation fixes the format instantly.
  • Deduplication: The system warns: "This client already exists," preventing duplicate entries.

Frequently Asked Questions (FAQ)

What about old data? You can export, clean in Excel and re-import, or use scripts in Jestor to bulk clean. MeetJestor.

How to avoid future "dirt"? By restricting typing freedom in critical fields (Select vs Text Input).

Does AI help? Yes, AI can analyze the base and suggest standardization corrections.

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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