Data Analysis for Non-Profits: Foundations, Practices, and Strategic Applications

This article examines the role of data analysis as both a technical and strategic practice in the non-profit sector. It explores how organizations apply data to strengthen decision-making, allocate resources effectively, improve programs, and measure impact with transparency. Case illustrations from food security, health services, education, and environmental conservation demonstrate the strategic value of adopting evidence-based practices. The discussion also considers ethical dimensions and highlights emerging trends such as artificial intelligence, big data, and real-time analytics.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.64357/neya-gjnps-intr-da
Citations
2
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
4.45
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article

Data Analysis for Non-Profits: Foundations, Practices, and Strategic Applications

Anna Neya Kazanskaia
2 citations
Supply Chain Resilience and Risk Management
4.45
article

Data Analysis for Non-Profits: Foundations, Practices, and Strategic Applications

Anna Neya Kazanskaia
article en
2 citations

Abstract

This article examines the role of data analysis as both a technical and strategic practice in the non-profit sector. It explores how organizations apply data to strengthen decision-making, allocate resources effectively, improve programs, and measure impact with transparency. Case illustrations from food security, health services, education, and environmental conservation demonstrate the strategic value of adopting evidence-based practices. The discussion also considers ethical dimensions and highlights emerging trends such as artificial intelligence, big data, and real-time analytics.

Openalex Percentile: Top 5%
Supply Chain Resilience and Risk Management
4.45
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