Standardized test scores, high school grade point averages (GPAs) and extracurricular activities are now way past their hay days of being the primary factors used for admitting students into colleges and universities. Big data is fast evolving into the new kid on the block.
Big data is vastly the preferred tool for university admissions officers for making 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 a decision
Segmenting your audiences into precise categories based on statistical models
Gaining new insights into student interests, needs and previous behavior