37th Annual Student Research Conference
Predictive Modeling of Alumni Giving Based on Affinities and Other Factors
Ankit Regmi
Dr. Kafi Rahman, Faculty Mentor
This research project aims to leverage data-driven approaches to enhance alumni fundraising efforts at Truman State University. The project seeks to optimize the Office of Advancement's strategies for soliciting philanthropic support by identifying the key factors influencing alumni's willingness to contribute. Utilizing a comprehensive analysis of alumni data, the project will pinpoint characteristics and trends among donors, enabling the university to tailor its outreach and engagement efforts more effectively. This targeted approach promises to increase the efficiency and success of fundraising campaigns, ultimately securing more significant financial support for the university's initiatives. The project underscores the significance of applying data analytics in higher education fundraising, offering a model that could be replicated across similar institutions seeking to bolster their philanthropic endeavors. Collaboration and further inquiry are encouraged, highlighting the team's commitment to enhancing Truman State University's fundraising outcomes through innovative, evidence-based strategies.
Keywords: Data-Driven Fundraising, Alumni Engagement, Philanthropic Support, Donor Behavior Analysis, Fundraising Optimization, University Advancement, Higher Education Fundraising
Topic(s):Computer Science
Statistics
Presentation Type: Asynchronous Virtual Presentation
Session: 208-1
Location: MG 1098
Time: 10:30