Teaching Paper: Glossary of Data Analysis and Technology Terms for Nonprofit Practice

This Teaching Paper provides a comprehensive glossary of essential terms in data analysis and technology, tailored for nonprofit organizations. Covering more than forty concepts—including aggregation, data cleaning, artificial intelligence, blockchain, impact measurement, and donor analytics—the glossary serves as both an academic reference and a practical management tool. By linking each definition to nonprofit applications, the paper strengthens the capacity of managers, students, and practitioners to engage in evidence-based decision-making. Drawing on foundational perspectives from Bryson, Drucker, and Patton, it illustrates how accurate terminology fosters organizational learning, ethical practice, and innovation. Practical notes ensure that concepts are not only defined but also directly applied to challenges in nonprofit management.