The importance of Data Quality 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 the Quality & Trust in Your Data with Validatar
Automate The Discovery, Monitoring & Testing Of Data
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.
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Validatar is packed with features to streamline and automate your Data Quality Management tasks and improve trust in your data
Start Your Data Quality Journey
Improving data quality is critical to building trust in your data with your stakeholders. Let us show you how Validatar automates the testing of your data to improve trust in your data.