Improve the Health of your Data

QuerySurge, the smart data testing solution,
improves the quality and health of your data

Survey on Data Validation and Testing

We performed a study of Big Data, Data Warehouse and Business Intelligence professionals at 207 companies interested in improving the level of data quality in their projects.

Our findings pointed out that many companies have minimal insight into the health of their corporate data. In other words, they have no view of the status of the data (verified and unverified) that is flowing through their applications. And corporate data is the strategic asset - it is their company’s lifeblood.

In the study, we also found that:

  • 29% of companies validated less than 1 percent of their data
  • 33% had validated less than 5 percent
  • 58% had validated less than 25 percent
  • a whopping 84% had validated less than 50 percent of their data

According to Gartner...

Large blue quotation marks    The average organization loses $14 million annually through poor data quality, while 4% put that figure as high as $100 million.   Large blue quotation marks

There is a real and significant risk - both financially and to your company's reputation - for not having an organized, repeatable way to assure your company's greatest asset – your data.

The Data Management Goal

  • Have a systematic way to verify all data
  • Verify the accuracy of all of your data – from its sources to its target systems – and identify any issues quickly
  • View, manage and improve the health of your extremely valuable corporate data

QuerySurge fulfills that goal by validating your data and providing insight into the health of your data throughout your organization.

QuerySurge will help you:

But don’t believe us (or our clients). Try it for yourself.
Check out our free trials and great tutorial

Data Quality Solutions & Bad Data: A Case of Misplaced Confidence?

C-level executives are making strategic decisions based on information from their BI and analytics initiatives to try to provide their firms with a competitive advantage. But what if the data is incorrect? Then they are making big bets, impacting the company's direction and future, on bad data.