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Getting Started With Data Quality

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
  • RealD

Redman, Thomas C. “Bad Data Costs the U.S. $3 Trillion Per Year,” Harvard Business Review, September 2016.

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