Advanced Data Analytics in Non-Profit Organizations: Opportunities, Challenges, and Applications
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
Article | 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-01
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About the Article
The integration of advanced data analytics into non-profit organizations has become a defining factor in enhancing efficiency, accountability, and impact in resource-constrained environments. This article examines the potential of predictive analytics, machine learning, big data, and real-time decision-making to transform program design, fundraising, and service delivery. Illustrative examples from education, healthcare, and environmental conservation demonstrate how data-driven insights enable measurable improvements, while ethical risks, privacy concerns, and structural barriers are critically considered. By bridging theory and practice, the analysis highlights the strategic role of data literacy and evidence-based decision-making in fostering sustainable and scalable social impact.
Key Topics
- Advanced data analytics in non-profits
- Predictive analytics and machine learning
- Big data integration and governance
- Transparency and stakeholder accountability
- Resource optimization in low-resource contexts
- Ethical considerations and data privacy
Suggested Citation
Kazanskaia, A. N. (2025). Advanced Data Analytics in Non-Profit Organizations: Opportunities, Challenges, and Applications. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-adv-dt-an-01
References
| Brynjolfsson, E., & McElheran, K. (2016). The rapid adoption of data-driven decision-making. American Economic Review, 106(5), 133-139. https://doi.org/10.1257/aer.p20161016 | ||||
| Chambers, R. (2014). Rural development: Putting the last first. Routledge. https://doi.org/10.4324/9781315835815 | ||||
| Ebrahim, A. (2003). Accountability in practice: Mechanisms for NGOs. World Development, 31(5), 813-829. https://doi.org/10.1016/S0305-750X(03)00014-7 | ||||
| Floridi, L., & Taddeo, M. (2016). What is data ethics? Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2083), 20160360. https://doi.org/10.1098/rsta.2016.0360 | ||||
| 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). Program Evaluation: Frameworks and Best Practices. NEYA Global Publishing. | ||||
| Kazanskaia, A. N. (2025). Data Analysis: Turning Information into Insight. NEYA Global Publishing. https://doi.org/10.64357/data-analysis-insight-2025 | ||||
| Kazanskaia, A. N. (2025). Monitoring & Evaluation in International Development. NEYA Global Publishing. https://doi.org/10.64357/monitoring-evaluation-international-development-2025 | ||||
| Kazanskaia, A. N. (2025). Ethical Considerations in Advanced Data Analytics for Non-Profit Organizations. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-adv-dt-an-10 | ||||
| Kazanskaia, A. N. (2025). Big Data Insights in Non-Profit Organizations: Strategies, Tools, and Applications. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-adv-dt-an-05 | ||||
| Patton, M. Q. (2015). Developmental evaluation: Applying complexity concepts to enhance innovation and use. Guilford Press. | ||||
| Salamon, L. M. (2014). The resilient sector revisited: The new challenge to nonprofit America. Brookings Institution Press. https://doi.org/10.5040/9780815750949 | ||||
| UN Women. (2018). Turning promises into action: Gender equality in the 2030 Agenda. New York: UN Women. https://doi.org/10.18356/917ed83e-en | ||||
