Do you know what clean data looks like? This is important. Without this vision, it will be difficult to distinguish dirty data within your environment.
The best thing you can do to protect your information is to make sure that dirty data never enters your environment. It’s simple to detect bad data, and normal data validation routines keep it at bay. But dirty data can be a slight variance in a minor field. With Customer Data, it’s easy to see how invalid data can wreak havoc in your environment.
You notice a few mistakes at first – outdated contact information for someone, irreconcilable reports, a strange customer name that’s infiltrated your favorite database.