Data Quality in Workflows & Migrations
6 articles
- Jun 12, 2026
Why Pasting Customer Data into Free Online Tools Is a GDPR Problem
The short answer: When you paste customer PII into a free online tool (duplicate remover, CSV converter, email validator), you're uploading personal data to a third-party server. Under GDPR, this makes the tool operator a data processor — and using a processor without a Data Processing Agreement…
- Jun 12, 2026
QuickBooks Import Errors: The 9 Data Fixes That Solve Almost All of Them
The fastest diagnosis: QuickBooks import errors are almost always a data formatting problem, not a QuickBooks problem. The 9 fixes below cover 90%+ of import failures. Match your error message to the section below.
- Jun 12, 2026
Salesforce Data Migration Checklist: 23 Things to Validate Before Go-Live
Use this checklist before any Salesforce data migration — new org setup, legacy CRM migration, or major data restructuring. Each item includes what happens if you skip it.
- May 21, 2026
How to Create a Data Quality Checklist for Any Data Migration Project
Every data migration failure shares a common theme: someone assumed the data was good enough to move. It wasn't. A data quality checklist forces you to verify before you migrate — and it's the difference between a smooth cutover and a three-month cleanup project.
- May 21, 2026
How to Validate Data Quality Before Loading Into a Data Warehouse
Validating data quality before loading into a data warehouse means running a set of automated checks on incoming data to catch problems before they reach your analytical tables — not after.
- May 21, 2026
Data Quality in Real-Time Data Pipelines: Catching Problems as They Happen
Data quality in real-time pipelines means validating each event or record as it arrives in the stream — rather than waiting for a batch job to find problems hours later.