Teaching Paper: Key Big Data and Analytics Concepts – Practical Guidance for Non-Profit Practice
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-04
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About the Article
Big data analytics is increasingly critical for non-profits seeking to strengthen evidence-based decision-making, optimize resource allocation, and enhance transparency. This Teaching Paper consolidates over 70 key concepts in data analytics—from foundational terms such as storage, ETL, and data cleaning to advanced topics including AutoML, quantum computing, blockchain, and NLP—linking each to real-world applications. Visualization approaches, governance, privacy, and security are emphasized as essential to ethical practice. A case study illustrates how organizations can combine predictive modeling, dashboards, and real-time monitoring to improve donor retention and program performance. The resource provides both practitioners and scholars with structured guidance to navigate the complexity of big data.
Key Topics
- Essential big data and analytics concepts
- Descriptive, predictive, and prescriptive analytics
- Machine learning, AutoML, NLP, and blockchain
- Visualization methods and best practices
- Data governance, privacy, and ethical compliance
- Case study: donor engagement and retention
Suggested Citation
Kazanskaia, A. N. (2025). Teaching Paper: Key Big Data and Analytics Concepts – Practical Guidance for Non-Profit Practice. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-hr-bg-dt-tp-04
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| Kazanskaia, A. N. (2025). Implementing Big Data Analytics: Strategy, Culture, Skills, and Infrastructure. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-hr-bg-dt-06 | ||||
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