Validatar | Improve the Quality & Trust in Your Data with Validatar

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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.”

- Forbes

“Poor data quality costs organizations an average of $15M per year.”

- Gartner

“Up to 30% of potential revenue is lost by organizations due to poor data quality.”

- OVUM RESEARCH

"Effective Business Intelligence Starts With High Quality Data"

- Simran Jindal

Validatar explores and exposes metadata so users can easily find the data they need.

Validatar makes it as easy to profile your data and share with your end users.

Validatar automates the testing process to improve the quality of your data.

Validatar monitors your data to enable proactively responding to data quality issues.

Validatar ingests and monitors metadata to quickly evaluate and alert you to changes in your 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?

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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.