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The importance of QA for data has never been greater
“84% of CEO’s are concerned about the quality of data they are basing their decisions on.”
“Poor data quality costs organizations an average of $15M per year.”
“Up to 30% of potential revenue is lost by organizations due to poor data quality.”
"Effective Business Intelligence Starts With High Quality Data"
Improve Efficiency & Reliability with Validatar
Automate The Discovery, Monitoring & Testing Of Data
Check out Validatar's Data Testing Toolkit
What if there was a way to make those data migrations or data warehouse projects smoother, faster, and cheaper with better data testing?
Texas Mutual Insurance Leverages Validatar
Read how Texas Mutual Insurance leveraged Validatar to implement enterprise wide data quality management and automate data testing
A Pragmatic Framework for Data Quality Success
Recently data quality expert conducted a webinar, sharing a pragmatic framework focused around the necessary components for data quality success.
Ready to Automate your data QA?
Stop wasting time on manual testing! Let us show you a better way. You will see how Validatar automates all QA tasks so you can focus on your data.