This article demonstrates how data analysis tools improve decision-making in non-profit organizations, highlighting options like spreadsheets and advanced analytics tools.
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.
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Anna Neya Kazanskaia (2025) studied this question.
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