Descriptive, predictive and prescriptive analytics, simplified

Michael Martinez and Yolanda Rodriguez
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Michael Martinez: Director of Information Systems, Florida International University, USA
Yolanda Rodriguez: Director of Data Management & Gift Services, Florida International University, USA

Journal of Education Advancement & Marketing, 2022, vol. 6, issue 4, 381-392

Abstract: This paper concentrates on how the FIU Foundation utilises descriptive, predictive, and prescriptive analytics to increase fundraising efforts. From utilising data techniques to establishing prescriptive analytical reports, this paper provides non-profit fundraising organisations valuable guidance on cultivating long-term, personalised relationships with constituents, securing future donations to their organisation and maintaining a sustainable culture of philanthropy.

Keywords: Analytics; alumni engagement; donor solicitations; fundraising; descriptive modelling; predictive modelling (search for similar items in EconPapers)
JEL-codes: M3 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:aza:jeam00:y:2022:v:6:i:4:p:381-392

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