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

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.

Name thesis:degree_name

Master of Science (MS)

Discipline thesis:degree_discipline

Information Technology and Administrative Management

Year dc:date.available

2015

Author dc:creator

• Harris, Stephanie L.

Contributors dc:contributor

• Robert Lupton
• Natalie Lupton
• Laura Portolese Dias

• Intentional Recruiting
• Academic Analytics
• Predictive Enrollment Model
• Educational Assessment, Evaluation, and Research
• Higher Education Administration
• Numerical Analysis and Scientific Computing
• Science and Technology Studies

Language dc:language

English

Repository record dc:identifier

https://digitalcommons.cwu.edu/etd/300

OAI identifier oai:identifier

oai:digitalcommons.cwu.edu:etd-1311