Teaching Paper: Predictive Model Templates — Practical Tools for Non-Profits Using Data Analytics
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
Teaching Paper | NEYA Global Journal of Non-Profit Studies
Year: 2025
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-adv-dt-an-tp-01
This material forms part of the NEYA Global knowledge architecture. Institutional, organizational, professional, training, consulting, curriculum, program design, or implementation use requires an active license from NEYA Global
Explore Architecture →
Module Overview →
Request Institutional Access →
About the Article
Predictive analytics is increasingly central to non-profit organizations seeking to maximize impact, allocate resources efficiently, and demonstrate accountability. This Teaching Paper introduces practical model templates for five widely used predictive techniques—linear regression, logistic regression, decision trees, random forests, and time series forecasting—tailored to the needs of practitioners without advanced technical training. Each model is contextualized with real-world non-profit applications, emphasizing interpretation, validation, and clear communication of results. A case study demonstrates how predictive analytics can reduce student dropout rates, while practical tips address common challenges such as data quality, overfitting, and communication barriers. By providing structured, step-by-step templates, this Teaching Paper bridges the gap between data science and practice, empowering non-profits to adopt evidence-based strategies with confidence.
Key Topics
- Predictive analytics for non-profit management
- Linear and logistic regression models
- Decision trees and random forests
- Time series forecasting techniques
- Practical templates for applied use
- Interpretation, validation, and ethical considerations
Suggested Citation
Kazanskaia, A. N. (2025). Teaching Paper: Predictive Model Templates — Practical Tools for Non-Profits Using Data Analytics. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-adv-dt-an-tp-01
References
| Bryson, J. M. (2018). Strategic planning for public and nonprofit organizations (5th ed.). Wiley. | ||||
| Drucker, P. F. (1990). Managing the non-profit organization: Principles and practices. HarperCollins. | ||||
| Kazanskaia, A. N. (2025). Advanced Data Analytics Techniques for Social Impact. NEYA Global Publishing. https://doi.org/10.64357/advanced-data-analytics-social-impact-2025 | ||||
| Kazanskaia, A. N. (2025). Introduction to Data Analysis for Non-Profits. NEYA Global Publishing. https://doi.org/10.64357/introduction-data-analysis-nonprofits-2025 | ||||
| Kazanskaia, A. N. (2025). Tools for Strategic Evaluation. NEYA Global Publishing. https://doi.org/10.64357/tools-evaluation-2025 | ||||
| Kazanskaia, A. N. (2025). Quantitative Research Methods. NEYA Global Publishing. https://doi.org/10.64357/quantitative-research-methods-2025 | ||||
| Kazanskaia, A. N. (2025). Predictive Analytics in Non-Profit Organizations: Applications, Models, and Strategic Implications. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-adv-dt-an-03 | ||||
| Kazanskaia, A. N. (2025). Real-Time Analytics in Non-Profit Organizations: Tools, Applications, and Strategic Benefits. NEYA Global Journal of Non-Profit Studies.Patton, M. Q. (2008). Utilization-focused evaluation (4th ed.). Sage. | ||||
| James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). An introduction to statistical learning with applications in R (2nd ed.). Springer. https://doi.org/10.32614/CRAN.package.ISLR2 | ||||
