Teaching Paper: Practical Tools for Big Data Analytics – A Guide for Non-Profit Data Practitioners
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
Teaching Paper | NEYA Global Journal of Non-Profit Studies
Year: 2025
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-hr-bg-dt-tp-01
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About the Article
Big data analytics provides non-profit organizations with the opportunity to make informed, data-driven decisions and enhance program impact. Yet managing complex datasets requires specialized tools and practical knowledge. This Teaching Paper introduces six categories of big data tools—data storage, processing, visualization, machine learning, data cleaning, and ETL—tailored to non-profit contexts. Each tool is explained with practical applications, cost-effective strategies, and learning resources for skill development. A case study illustrates how organizations can combine these tools to analyze donor engagement, resulting in improved fundraising outcomes. The resource bridges academic frameworks and applied guidance, equipping practitioners to integrate analytics into everyday decision-making.
Key Topics
- Big data tools for non-profits
- Data storage, processing, and analysis
- Visualization platforms and dashboards
- Machine learning and AI applications
- Data cleaning and ETL integration
- Practical case study and learning resources
Suggested Citation
Kazanskaia, A. N. (2025). Teaching Paper: Practical Tools for Big Data Analytics – A Guide for Non-Profit Data Practitioners. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-hr-bg-dt-tp-01
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