2d • General Discussion
Using Automation to Clean and Normalize Data Before It Enters Your System
One thing many businesses struggle with is messy data.
People type names differently, emails come with spaces, phone numbers come in random formats, and duplicates pile up.
Over time, this leads to confusion, bad reporting, and wasted manual clean-up.
Recently, I built an automation that cleans and standardizes data before it even enters the client’s system.
Here’s what it did:
Whenever a new entry came in from a form Google Form Typeform or a website
The automation checked for missing fields
Fixed formatting issues like name casing email spacing and phone number style
Validated the email to make sure it was real
Removed duplicates by comparing new data with existing records
Tagged and organized entries before sending them to the CRM or Google Sheet
All of this happened automatically in the background.
The client didn’t need to open spreadsheets or correct errors manually.
Every new record was clean consistent and ready to use the moment it arrived.
This might not sound flashy but data quality is the backbone of any good system.
Bad data breaks automations but clean data powers smooth workflows.
If you want I can write another totally different automation topic.
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Using Automation to Clean and Normalize Data Before It Enters Your System
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