Every decision your business makes — pricing, forecasting, retention — relies on one thing:

Clean, trustworthy data.

But most companies don’t realize how much of their data is incomplete, outdated, or just plain wrong. That’s what we call dirty data — and it could be costing your business thousands per month in lost revenue, churn, and operational inefficiencies.

What Is Dirty Data?

Dirty data refers to any data that is inaccurate, incomplete, duplicate, or inconsistent. It shows up in many forms:

• Customers entered multiple times in different systems

• Blank or outdated contact information

• Revenue mismatches across reports

• Product SKUs missing pricing data