Advanced Predictive Analytics on Financial Donations to Nonprofit Organizations

Author

Fhamida Keya, The Graduate Center, City University of New YorkFollow

Date of Degree

9-2024

Document Type

Capstone Project

Degree Name

M.S.

Program

Data Analysis & Visualization

Advisor

Howard Everson

Subject Categories

Data Science | Nonprofit Studies

Keywords

nonprofit data management, donation contribution, nonprofit donations predictive analytics, fundraising optimization, fundraising strategy, donor behavior

Abstract

Non-profit organizations rely on donation contributions to carry out their social driven agenda. In the context of fundraising and donor management, it is crucial to uncover complex insights about donor behavior for optimizing strategies and enhancing donor engagement. This project employed advanced analytical techniques on the dataset Donations Received by City Agencies sourced from NYC Open Data by implementing predictive modeling, clustering segmentation, and time series analysis and forecasting. The project will attempt to uncover patterns in donation behavior, identify factors that influence donation amounts, and segment out donor profiles all of which can be leveraged to optimize strategy decisions, fundraising campaigns, and resource allocation.

Comments

Online component: https://github.com/fhamidakeya98/Donation-Analysis

Recommended Citation

Keya, Fhamida, "Advanced Predictive Analytics on Financial Donations to Nonprofit Organizations" (2024). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/6050