Bad data is costly — Gartner calculates that the average cost of bad data per company in the U.S. is a staggering $15 million. No matter how skilled and hard-working your data owners are, we’re all susceptible to data errors of different origins. With the right tool, you can be confident that your analytical and operational data retains its quality from end-to-end, from its source to its final destination. Join Tricentis experts Mike White and Kevin Horvath as they discuss the potential errors your data is prone to, and crucially how to overcome them with Tricentis Data Integrity.

Watch this webinar to learn: 

• Potential errors your data can encounter along your business pipeline, from duplication to privacy and security issues
• Why many tools fall short of catching these errors, and the necessary criteria to keep your data clean
• How Tricentis Data Integrity is designed to deliver high quality data with end-to-end, automated, and continuous testing