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September 24, 20250 citations

Future Trends in Data Analysis for Non-Profit Organizations: Emerging Technologies, Real-Time Insights, and Impact Measurement

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AKAnna Neya Kazanskaia

Key Points

  • Emerging technologies enable better data analysis in non-profits, enhancing operational effectiveness and accountability.
  • The article identifies key tools like big data and artificial intelligence, suggesting their vital role in achieving sustainable impact.
  • A structured framework for impact measurement is proposed, covering inputs, outputs, outcomes, and longer-term social change.
  • New technologies come with challenges such as data security and integration, which non-profits must address to succeed.

Abstract

This article explores the emerging trends in data analysis that are reshaping how non-profits operate in complex and resource-constrained environments. It examines technological developments including cloud computing, mobile data collection, IoT devices, blockchain, open-source software, big data, artificial intelligence, and real-time analytics. A structured framework for impact measurement—encompassing inputs, outputs, outcomes, and long-term social change—is presented as a strategic tool for accountability and evaluation. Through case examples from education, healthcare, fundraising, and disaster relief, the article demonstrates practical applications of new technologies while addressing challenges such as integration, data security, and equity. Ultimately, it argues that non-profits adopting adaptive, ethical, and collaborative approaches to emerging technologies will be best positioned to achieve sustainable social impact.

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Anna Neya Kazanskaia (2025) studied this question.

synapsesocial.com/papers/68d6d8ba8b2b6861e4c3f003https://doi.org/10.64357/neya-gjnps-ftda-2025
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