Using Data Analysis Tools in Non-Profit Organizations: From Spreadsheets to Advanced Analytics
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global | NEYA Global Publishing
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-udat-2025
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About the Article
This article explores the spectrum of data analysis tools available to non-profit organizations, from accessible spreadsheet platforms to advanced statistical and programming environments. Microsoft Excel, LibreOffice Calc, and Google Sheets provide essential functions such as formulas, pivot tables, and real-time collaboration, while advanced tools such as SPSS, R, and Python enable large-scale statistical modeling, automation, and integration with databases. Practical considerations—including budget, staff skill levels, data complexity, and system compatibility—shape organizational tool selection. By demonstrating spreadsheet formulas like SUM, AVERAGE, IF, and VLOOKUP alongside advanced applications in R and Python, the article highlights how organizations can strategically adopt tools that align with their missions. Ultimately, building competence in both basic and advanced tools empowers non-profits to transition from descriptive reporting to predictive and evaluative analytics, strengthening decision-making, accountability, and social impact.
Key Topics
- Spreadsheets for everyday data management (Excel, Google Sheets, LibreOffice Calc)
- Practical functions: SUM, AVERAGE, COUNT, IF, VLOOKUP, pivot tables, conditional formatting
- Cloud-based collaboration for budgeting and program tracking
- Advanced tools: SPSS for survey analysis, R for statistical modeling, Python for automation and visualization
- Strategic considerations in tool selection: cost, expertise, data requirements, integration
- Building staff competence through training, templates, and data organization
Academic Value
The article connects technology adoption with broader themes of organizational capacity and accountability in the non-profit sector. It demonstrates how analytical tools operationalize evidence-based practice, moving beyond simple reporting toward more sophisticated approaches that support evaluation, planning, and transparency. For academics, it provides a framework for analyzing technology adoption in resource-constrained environments. For practitioners, it offers a practical guide for selecting and implementing tools that match organizational needs while ensuring sustainability and impact.
Suggested Citation
Kazanskaia, A. N. (2025). Using Data Analysis Tools in Non-Profit Organizations: From Spreadsheets to Advanced Analytics. NEYA Global Publishing. https://doi.org/10.64357/neya-gjnps-udat-2025
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Kazanskaia, A. N. (2025). Using data analysis tools in non-profit organizations: From spreadsheets to advanced analytics. Neya Global Journal of Non-Profit Studies.
https://doi.org/10.64357/neya-gjnps-udat-2025
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https://doi.org/10.64357/data-analysis-insight-2025
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