Machine Learning and Decision Intelligence
Predicting Student Retention and Drivers
Data warehouse and business intelligence practitioners in higher education are now managing more data from more areas of the university than ever before. Going beyond BI and applying both predictive and prescriptive analytic techniques is the next logical progression in effectively leveraging this data, as has been seen across a variety of other industries.
We discuss multiple case studies of applying machine learning and decision intelligence approaches to various points in student’s educational journey. One particular focus will be on student retention: predicting retention likelihood for individual students as well as the main drivers of potential non-retention. This information can be used to accurately identify at-risk students and better address their individual needs.
Lytix is an analytics software company focused on empowering companies to improve their ROI through predictive analytics and optimization .
We provide advanced analytics software, consulting services and third-party data to our customers. Our team serves a diverse set of clients across many industries, providing cloud-based hosted analytics solutions that help both business and technical users easily leverage the power of predictive analytics and modeling. Our solutions offer access to sophisticated analytics approaches at a reasonable price. Start making better business decisions by predicting customer behavior such as spend and churn, or optimizing your channels and campaigns.
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