Dirty data done dirt cheap. But at what cost?
Bad data is responsible for an astonishing $3.1 trillion in losses annually in the U.S. alone1, and everyone is impacted by it.
It's critical that organizations adopt effective data quality management tools like Omni-Gen™ Personal Edition, which quickly and easily delivers valuable insight into the quality of enterprise data – without relying on developers.
If you're unsure about the importance of data quality management, read our e-book and learn how our customers are saving millions each year with our technology:
- The City of Charlotte
- St. Luke’s University Health Network
- JOC Group
1 Redman, Thomas C. “Bad Data Costs the U.S. $3 Trillion Per Year,” Harvard Business Review, September 2016.