Standardized test scores, high school grade point averages (GPAs) and extracurricular activities are no longer the primary factors used for admitting students into colleges and universities. “Big Data” is fast evolving into the new “kid”.
“Big Data” is now the preferred tool used by university admissions officers in order to make rapid and precise enrolment decisions. The wealth of new data available allows for the creation of predictive modelling which yields long term benefits such as better student retention.
The careful application of “Big Data” or predictive analytics when building a student recruitment plan can lead to significant increases in enrollments by:
Re-engaging high-potential student prospects on the brink of making a decision.
Segmenting your audiences into precise categories based on statistical models.
Gaining new insights into student interests, needs and previous behavior.