The Definitive Guide to AI Data Cleaning in Google Sheets

If you’ve ever exported a report from Salesforce, HubSpot, or a legacy ERP, you know the pain: thousands of rows of inconsistent casing, concatenated addresses, and non-standardized titles. Traditionally, this required hours of `REGEXREPLACE` or complex Python scripts. Today, you can solve it with a single formula.

Why Manual Cleaning is Dead

  • Contextual Standardizing: Converting 'Sr. Mgr.' and 'Senior Manager' into a single uniform value.
  • Address Splitting: Intelligently separating city, state, and zip without breaking on international formats.
  • Noise Removal: Stripping out legal suffixes (LLC, Inc, Gmbh) while keeping the core brand name.
  • Sentiment Scrubbing: Cleaning customer feedback data before running analysis.

Standardizing Inconsistent Casing and Job Titles

The most common data cleaning task is job title standardization. Instead of building a massive lookup table, you can use AI to categorize titles based on seniority or department.

=FITS("Take the job title in cell A2 and output a standardized version. Only use these categories: Executive, Management, Individual Contributor.", 0.1)

Cleaning Messy Address and Location Data

Address data is notoriously difficult to parse because of how many ways people write the same thing. AI can "read" the cell and extract the specific components you need.

=FITS("Extract the Zip Code from this address: " & A2)

Download the Data Cleaning Kit

Get our master spreadsheet template with pre-built FITS formulas for title standardization, address splitting, and noise removal.

Building a Reusable Data Scrubbing Pipeline

The FITS Method for data operations isn't just about one-off cleaning. It's about building a pipeline where raw data is dumped into Tab A, and a standardized, ready-for-upload file is produced in Tab B automatically.

Pattern Match

Identify anomalies in large datasets that standard filters miss.

Format Fix

Automatically fix date formats, currency symbols, and unit markers.

Enrichment

Add industry categories or SIC codes based on the company name.

Continue Your Mastery