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Rapid Insight Announces Predictive Analytic QuickStart Solution for Jenzabar

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Solution Reduces Predictive Analytic ‘time to deploy’ for Colleges and Universities Using Jenzabar

Conway, NH – Rapid Insight Inc., the leading provider of easy to use predictive analytics and data intelligence software, today announced the launch of another add-on product for its predictive analytics and data intelligence software.

The streamlined solution enables users of Jenzabar’s Student Information System to quickly build and deploy predictive models for enrollment management. Rapid Insight QuickStart is delivered as a template for the Rapid Insight software suite with a focus on predicting student enrollment likelihood. This is the third QuickStart solution launched by Rapid Insight this year. The company previously launched two other QuickStart solutions for users of the Banner SIS. Those templates focused on enrollment modeling and student retention.

“It has become increasingly evident to us that, although people have the knowledge and expertise of their own data, they don’t always have the time to dedicate to navigate through the data complexities to build predictive models in a timely manner, “ said Paul Kirsch, Marketing Manager for Rapid Insight.

“With the use of our QuickStart solutions, people are now developing predictive models in hours or days as opposed to months or years. This same opportunity is now available for Jenzabar users,” continued Kirsch.

About Rapid Insight Inc. – Rapid Insight Inc. is a leading provider of predictive analytics software and solutions that provides organizations with the ability to make data-driven decisions. Focusing on speed, efficiency, and usability, Rapid Insight products enable users of any skill level to quickly turn their raw data into actionable information. The company’s analytic software platform simplifies the extraction, analysis, reporting, and modeling of data for clients ranging from small businesses to Fortune 500 companies. For more information, visit: rapidinsight.com.

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