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# Data Cleaning: How to Standardize Information in 2026
- URL: https://blog.jestor.com/data-cleaning-how-to-standardize-information-in-2026/
- Published: 2026-02-12T19:36:28.000Z
- Updated: 2026-02-12T19:36:28.000Z
- Author: Aline Valério

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. Meet[Jestor](https://jestor.com/?ref=blog.jestor.com).

**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.