The Janitor.ai Blog

Data quality insights, straight from the field

Practical guides, real-world case studies, and expert perspectives on data cleaning, CRM hygiene, and building reliable data operations — written by our team of practitioners.

The 12-Point CSV Cleaning Checklist Before Every CRM Import
CRM

The 12-Point CSV Cleaning Checklist Before Every CRM Import

Importing messy data into your CRM is a one-way ticket to broken automations and missed follow-ups. This checklist walks you through every validation step your team should run before hitting import.

Dan Okafor

Dan Okafor

April 14, 2025·6 min read
Deduplication Strategies for Product Catalogs: A Practical Guide
E-commerce

Deduplication Strategies for Product Catalogs: A Practical Guide

Duplicate SKUs silently inflate inventory counts and break pricing rules. We cover four proven approaches to catalog deduplication — from fuzzy matching to AI-assisted normalization — with real examples.

Maya Chen

Maya Chen

March 31, 2025·10 min read
Data Governance for Small Teams: You Don't Need an Enterprise Budget
Governance

Data Governance for Small Teams: You Don't Need an Enterprise Budget

Enterprise-grade data governance sounds intimidating, but most of the value comes from a handful of cheap habits. Here's how a team of five can implement a data quality culture that actually sticks.

Sara Lindqvist

Sara Lindqvist

March 17, 2025·7 min read
The Complete Guide to Phone Number Normalization in Customer Data
Data Quality

The Complete Guide to Phone Number Normalization in Customer Data

Phone numbers are stored in dozens of formats: (555) 123-4567, +15551234567, 555.123.4567, and worse. This guide explains every normalization strategy and when to apply each one.

Dan Okafor

Dan Okafor

March 3, 2025·9 min read
How to Automate Your Data Cleaning Workflow Without Writing Code
Automation

How to Automate Your Data Cleaning Workflow Without Writing Code

Manual data cleaning steals hours every week. This step-by-step guide shows how operations teams can set up automated cleaning pipelines using rule sets, scheduled jobs, and webhooks — no engineering required.

Sara Lindqvist

Sara Lindqvist

February 17, 2025·11 min read

Our Authors

Written by practitioners, not marketers

Maya Chen

Maya Chen

Head of Data Partnerships

Maya has spent 10 years building data pipelines for e-commerce and retail brands. She writes about practical data quality strategies for operations teams.

Dan Okafor

Dan Okafor

Senior Data Engineer

Dan specializes in CRM data hygiene and B2B sales data architecture. He has helped over 50 companies clean and unify their contact databases.

Sara Lindqvist

Sara Lindqvist

Product Manager, Janitor.ai

Sara leads product strategy at Janitor.ai, with a background in operations research and data governance at scale.

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