Naveego, an emerging leader of cloud-first distributed data accuracy solutions, introduced the Naveego Accelerator™, a quick data health analysis tool that analyzes data accuracy and provides measurable results in minutes. The company also announced it has expanded its Partner Success Program with new partners that include CBTS, Frontblade Systems, Mondelio.

The challenge of data cleansing is rapidly becoming more difficult, as well as expensive. According to Gartner the annual average cost to organizations is $15 million for maintaining bad data. In addition to the high price of legacy systems and customization, poor data quality costs the U.S. economy $3.1 trillion a year.

The newly released Naveego Accelerator performs an overall data accuracy search, analyzing the health of multiple data sources by auto-profiling and conducting a cross system comparison to effectively calculate the percentage of records with consistency errors that impact business operations and profitability. This proof of value tool delivers profiling analysis results and data health metrics in minutes, and allows users to set data quality checks to investigate accuracy issues even further.

Naveego’s flagship Complete Data Accuracy Platform™ is a hybrid, multi-cloud distributed data accuracy solution that proactively manages, detects and eliminates data accuracy issues across all multiple data sources. The solution provides data accuracy at high volume with real-time streaming from any data source in any environment regardless of its schema or structure. Unlike complex and expensive legacy solutions, the Naveego platform is a complete cloud-first solution that requires no customization or infrastructure change to adopt.

“Today’s hybrid infrastructure is increasingly complex, driving the need for a data accuracy solution that unifies and manages both traditional and new data sources into a single accurate record for business advantage,” said Katie Horvath, CEO, Naveego. “The Naveego Accelerator tool was designed to give partners and customers a simple way to proactively manage, detect and eliminate data accuracy issues across all enterprise data sources in real-time. As a result, enterprises have a 360 degree view of all information assets to ensure they’re working with the most reliable data possible for long-term global data health and business value.”

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