Introduction to Advanced Data Analytics in Non-Profit Organizations

Introduction to Advanced Data Analytics in Non-Profit Organizations

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-02


Open Publication PDF →

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

The strategic adoption of advanced data analytics has become indispensable for non-profit organizations seeking to enhance impact under constrained resources. This article traces the evolution of analytics from basic statistics to machine learning and big data, highlighting their transformative potential in mission-driven contexts. It explores applications in predictive modeling, resource optimization, and transparency, while critically examining barriers such as limited budgets, insufficient expertise, and data governance challenges. Drawing on real-world cases from fundraising, education, and healthcare, the analysis provides practical pathways for adoption, emphasizing pilot initiatives, staff training, and the use of open-source platforms. By embedding analytics into strategic and operational processes, non-profits can strengthen effectiveness, reinforce stakeholder trust, and scale sustainable solutions to pressing social challenges.

Key Topics

  • Advanced data analytics in non-profit organizations
  • Predictive modeling and machine learning
  • Resource optimization and efficiency
  • Transparency and stakeholder accountability
  • Data governance and ethical practices
  • Applications in fundraising, education, and healthcare

Suggested Citation

Kazanskaia, A. N. (2025). Introduction to Advanced Data Analytics in Non-Profit Organizations. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-adv-dt-an-02

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
Davenport, T. H., & Harris, J. G. (2017). Competing on analytics: The new science of winning. Harvard Business Review Press.
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
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). Qualitative Research Methods. NEYA Global Publishing. https://doi.org/10.64357/qualitative-research-methods-2025
Kazanskaia, A. N. (2025). Visualizing Impact: Data Communication Strategies. NEYA Global Publishing.
Kazanskaia, A. N. (2025). Advanced Data Analytics in Non-Profit Organizations: Opportunities, Challenges, and Applications. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-adv-dt-an-01
Kazanskaia, A. N. (2025). Harnessing Advanced Data Analytics for Strategic Impact in Non-Profit Organizations. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-adv-dt-an-13
Patton, M. Q. (2015). Developmental evaluation: Applying complexity concepts to enhance innovation and use. Guilford Press.
Provost, F., & Fawcett, T. (2013). Data science for business: What you need to know about data mining and data-analytic thinking. O'Reilly Media.
UN Women. (2018). Turning promises into action: Gender equality in the 2030 Agenda. New York: UN Women. https://doi.org/10.18356/917ed83e-en
https://neyaglobal.com/journal-nonprofit/introduction-to-advanced-data-analytics-in-non-profit-organizations
349
September 28, 2025