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Descriptive, predictive and prescriptive analytics, simplified

Author

Listed:
  • Martinez, Michael

    (Director of Information Systems, Florida International University, USA)

  • Rodriguez, Yolanda

    (Director of Data Management & Gift Services, Florida International University, USA)

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.

Suggested Citation

  • Martinez, Michael & Rodriguez, Yolanda, 2022. "Descriptive, predictive and prescriptive analytics, simplified," Journal of Education Advancement & Marketing, Henry Stewart Publications, vol. 6(4), pages 381-392, March.
    • Handle: RePEc:aza:jeam00:y:2022:v:6:i:4:p:381-392
    as

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    More about this item

    Keywords

    Analytics; alumni engagement; donor solicitations; fundraising; descriptive modelling; predictive modelling;
    All these keywords.

    JEL classification:

    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising

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