Document Type
Thesis
Date of Degree Completion
Fall 2015
Degree Name
Master of Science (MS)
Department
Information Technology and Administrative Management
Committee Chair
Robert Lupton
Second Committee Member
Natalie Lupton
Third Committee Member
Laura Portolese Dias
Abstract
Using business intelligence (BI) and archival data from a division II, public comprehensive, university in Washington State, the researcher identified specific characteristics of those students who enrolled, persisted and completed to undergraduate degree attainment. These characteristics created an applicant profile to be used in future enrollment management activities for intentional recruiting, while the predictive models for enrollment and completion inform administration to improve tuition revenue planning and budgeting, and to forecast future enrollment yield.
Recommended Citation
Harris, Stephanie L., "Intentional Recruiting: Using business intelligence, data mining, and predictive analytics to identify characteristics of those students who enroll, and graduate; in support of university enrollment management" (2015). All Master's Theses. 300.
https://digitalcommons.cwu.edu/etd/300
Language
English
Included in
Educational Assessment, Evaluation, and Research Commons, Higher Education Administration Commons, Numerical Analysis and Scientific Computing Commons, Science and Technology Studies Commons