The Use of Predictive Analytics – Making Higher Ed Space Ready for the Future

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The Use of Predictive Analytics – Making Higher Ed Space Ready for the Future

November 4, 2019

The age of applied sciences and predictive analytics is constructing a new path which the institutions can use to structure their learning environment. It helps them to effectively interpret institutional data and use it for being more proactive, anticipate outcomes and analyze behaviors, uncovering different usage patterns and relationships of the users.

Predictive analytics can be deployed to provide the students with countless opportunities, as it uses a number of data mining, predictive modeling and analytical techniques which can be used to project the student’s future outcomes. The institutions can also study the historical data to identify the risks and opportunities which can help shape positive outcomes while there is still time to act.

Although Higher Education is relatively a late adopter of predictive analytics as a management tool, it decided to jump right in to analyze historical and current data and determine which students are most at risk for attrition and how can they prevent it from happening.

Student Success With Data & Predictive Analytics

Unifyed focuses on the major aspects of predictive analysis to transform the higher education space using data engineering, data sciences, decision sciences and decision support.

Here’s How Predictive Analytics Is Useful

1. Increase Student Enrollment Rates – Analytics play a vital role in reducing the per enrollment cost. It assists institutions in analyzing the enrollment data and trends over a span of years by identifying the profiles of students who are likely to be a better fit for specific programs, thereby helping institutes take a focused approach and target better students.

2. Improve Student Engagement and Satisfaction Rates – Information is an invaluable tool when trying to understand how to keep your students engaged while they are learning. Unifyed helps institutions to put data to use and give students the advising support they need to succeed with the help of predictive analytics.

3. Increase Student Retention Rates – Unifyed identifies the patterns of student risk by analyzing the historical data from institutions’ student information systems. It builds predictive models to understand drivers of attrition and identify actionable triggers to help institutes reduce churn.

4. Better Financial Aid Services to Students – Business intelligence software and predictive analytics help students get more mileage out of financial aid. Unifyed provides predictive analytics with more precision, allowing the organization to stretch financial aid services out to more students in a timely manner. It also helps to predict non-payment patterns, if any, by sifting through the captured data.

5. Strategize Your IT Decision – There is an undeniable need for a systematic analysis before deciding whether an IT function should be outsourced or not. Unifyed provides a systematic analysis for evaluating components of the institution’s IT if outsourcing may be useful to practitioners. They assist in end-to-end analysis of the institutions IT department, to strategize their decisions based on their pre-existing data.

There are many success stories proving how higher education has benefited from predictive analytics, with expansion of data-driven decision-making opportunities in nearly all areas of campus life and operations. Even though so far, student retention has been the motivational factor for universities to adopt predictive analytics, insights show that it has also translated to better learning and teaching environments. Big data and predictive analytics identifies not just the current stats but also help to nudge students on the predictive findings to make better decisions and succeed.