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U.S.-Based Technical College Employs New Predictive Analytics to Improve Student Success

The mission of this U.S.-based technical college is to prepare its graduates to meet the resource demands for advanced, emerging technical certifications and associate degrees needed by public and private employers in its state. The state and the college developed a unique outcome-based business model whereby state funding increases when graduates’ earnings increase.

The college’s unique funding model required it to identify current, in-demand skills continually, or that might soon be in demand, across its home state. However, the myriad data sources made it difficult for the college to manage student data and course history. Data consumers, such as faculty, advisors, and administrators, often could not combine internal data with data from external sources, such as the Bureau of Labor Statistics.

The college leveraged the Denodo Platform to develop a logical data fabric that enabled data users, including business analysts and student services staff, to connect, combine, and consume data more quickly. The Denodo Platform also simplified data governance, data quality, and data privacy by providing one place to define and enforce policies across the entire data infrastructure.

Read this case study to learn more. 

 

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