Our white paper demystifies applying predictive analytics and machine learning to higher education enrollment management. Learn from real examples from colleges and universities. Soon you'll be on your way to reaping the benefits in your admissions and enrollment operation.

Predict 101 for Higher-ed Enrollment Management White Paper

Get your guide to predictive analytics and modeling for higher education enrollment. 

Analytics in higher education hasn’t kept up with strides in big data, machine learning, and cloud-based solutions. Instead, many admissions professionals still rely on intuition for their search and yield campaigns. But employing predictive analytics and data-driven decision-making doesn't need to be intimidating or costly, as this guide shows. 

To understand how machine learning helps colleges predict what prospects and admits will do, we present a scenario based on one of our clients, a small liberal arts school in the Northeast. Then we describe how a score-based model helps the school make better-informed decisions about how to plan their recruiting resources. 

Understanding How Predictive Modeling Works 

Colleges of all types and sizes choose Element451 to bring order to chaos and data to decision-making. Some select it as their first CRM, others make the switch from overly complicated solutions. 

All-in-One Admissions Marketing and Enrollment Management Software

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