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# Agile Data Governance: Keeping the database clean
- URL: https://blog.jestor.com/agile-data-governance-keeping-the-database-clean/
- Published: 2026-01-07T18:31:08.000Z
- Updated: 2026-01-07T18:31:08.000Z
- Author: Aline Valério

Dirty data kills companies. Duplicate names, wrong emails, and lack of standards prevent any serious analysis. **Jestor** helps enforce validation rules at data entry, ensuring your operation grows structurally, not chaotically.

### **The cost of "Garbage In, Garbage Out"**

If one salesperson writes the phone number as "(555) 123" and another as "555123," your SMS automation fails. If the product record lacks weight, freight calculation fails. Governance is ensuring data enters clean.

### **Validation in Jestor**

Unlike spreadsheets that accept anything, in Jestor you define locks:

- **Mandatory Fields:** Won't save client without email.
- **Masks:** Tax ID must have correct digits.
- **Uniqueness:** Won't allow registering two clients with the same ID.

### **Frequently Asked Questions (FAQ)**

**How to clean old data?** Export to Excel, clean, and re-import into[Jestor](https://jestor.com/?ref=blog.jestor.com). Or use automations to format data (e.g., capitalize everything).

**Does Jestor help with GDPR/CCPA?** Yes. The organized data structure makes it easy to fulfill data subject requests ("Delete my data") quickly.

**Who should handle governance?** Usually, the Ops team (Sales Ops, Marketing Ops) is the guardian of data quality in Jestor.

### **Conclusion**

With **Jestor**, you trust the reports you see because you know the data foundation is solid.

Keep your data clean and organized:[https://jestor.com/](https://jestor.com/?ref=blog.jestor.com)