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Introduction to Data Analysis for Non-Profits – Book Cover
Cover of the book Introduction to Data Analysis for Non-Profits by Dr. Anna Neya Kazanskaia

Introduction to Data Analysis for Non-Profits

  • Dr. Anna Neya Kazanskaia 
  • NEYA Global Publishing,2025
  • DOI: 10.64357/introduction-data-analysis-nonprofits-2025
  • https://doi.org/10.64357/introduction-data-analysis-nonprofits-2025

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About the Book

Introduction to Data Analysis for Non-Profits offers a practical, accessible guide to using data as a strategic tool for driving impact in the non-profit sector. It explains how organizations can collect, interpret, and apply data to improve decision-making, demonstrate results to stakeholders, and optimize resource allocation.

The book covers fundamental concepts such as data types, sources, and collection methods, alongside guidance on building data literacy within an organization. It explores how to use spreadsheets, visualization tools, and basic statistical methods without requiring advanced technical skills. Special attention is given to ethical data management, safeguarding sensitive information, and ensuring transparency.

Through real-world examples and sector-specific case studies, Dr. Anna Neya Kazanskaia demonstrates how data analysis can help identify community needs, measure program outcomes, and strengthen fundraising strategies. The content is tailored to the realities of non-profits operating with limited budgets and human resources, making it equally valuable for small grassroots initiatives and larger international organizations.

Key Topics

  • Basics of data types, sources, and collection in non-profits
  • Building organizational data literacy
  • Practical tools for data organization and visualization
  • Using data to evaluate program performance
  • Ethical and secure data management
  • Turning analysis into actionable strategies
  • Case studies from non-profit practice

Academic Value

This book bridges the gap between technical data concepts and the practical needs of non-profit professionals. It is suitable for academic courses, training programs, and as a reference guide for leaders who aim to integrate data-driven approaches into their operations without heavy investment in technology.

Citation Formats

APA
Kazanskaia, A. N. (2025). Introduction to data analysis for non-profits. NEYA Global Publishing. https://doi.org/10.64357/introduction-data-analysis-non-profits-2025

MLA
Kazanskaia, Anna Neya. Introduction to Data Analysis for Non-Profits. NEYA Global Publishing, 2025. https://doi.org/10.64357/introduction-data-analysis-non-profits-2025

Chicago (Author–Date)
Kazanskaia, Anna Neya. 2025. Introduction to Data Analysis for Non-Profits. NEYA Global Publishing. https://doi.org/10.64357/introduction-data-analysis-non-profits-2025

Harvard
Kazanskaia, A. N., 2025. Introduction to Data Analysis for Non-Profits. NEYA Global Publishing. Available at: https://doi.org/10.64357/introduction-data-analysis-non-profits-2025

IEEE
A. N. Kazanskaia, Introduction to Data Analysis for Non-Profits. NEYA Global Publishing, 2025. doi: 10.64357/introduction-data-analysis-non-profits-2025

References

Bryman, A. (2016). Social research methods. Oxford University Press.

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications.

Kazanskaia, A. N. (2025). Grant reporting and data analysis. NEYA Global Publishing.
https://doi.org/10.64357/grant-reporting-data-analysis-2025

Kazanskaia, A. N. (2025). Impact assessment: Measuring & communicating. NEYA Global Publishing.
https://doi.org/10.64357/impact-assessment-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). Strategic planning for social impact. NEYA Global Publishing.
https://doi.org/10.64357/strategic-planning-2025

Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook. Sage Publications.

Nguyen, P., & Williams, S. (2021). AI applications in non-profit fundraising. International Journal of AI in Non-Profits, 40(3), 178-198.

Patel, R., & Clark, M. (2020). Data-driven program evaluation. Non-Profit Technology Journal, 32(1), 102-119.

Patton, M. Q. (2015). Qualitative research & evaluation methods. Sage Publications.

Trochim, W. M., & Donnelly, J. P. (2006). The research methods knowledge base. Atomic Dog Publishing.

Zhao, Y., & Thomas, G. (2019). The role of data analysis in non-profit transparency. Social Services Quarterly, 28(4), 345-367.

About the Author

Dr. Anna Neya Kazanskaia is an expert in the non-profit sector with over a decade of international experience. Founder of NEYA Global and NEYA Global Publishing, she has authored more than 100 books on strategic planning, impact measurement, and social change. Her work bridges theory and practice, equipping organizations worldwide with tools to create sustainable, high-impact initiatives.