Optimizing Project Management Methodologies for Non-profit and Community-Based Organizations: A Data-Analytics-Informed Agile Approach.
DOI:
https://doi.org/10.54536/ajsde.v4i2.6331Keywords:
Agile Project Management, Community-Based Rganizations, Data Analytics, Non-Profit Organizations, Project Optimization, Social ImpactAbstract
This conceptual paper explores how data analytics can enhance Agile project management within Non-profit and Community-Based Organizations (NPOs and CBOs). The study employs a qualitative methodology through a systematic literature review, synthesizing existing research on traditional project management approaches such as Waterfall and PRINCE2, as well as Agile frameworks like Scrum and Kanban. By examining studies that integrate data analytics into project management, the paper identifies opportunities for real-time data insights to improve decision-making, resource allocation, and project success rates. Findings reveal that conventional project management models are often rigid and incompatible with the dynamic and resource-constrained environments of non-profit projects. In contrast, Agile methodologies provide flexibility, stakeholder collaboration, and adaptability qualities further strengthened when combined with data-driven decision making. The analysis develops a hybrid conceptual model that merges Agile’s iterative approach with the analytical precision of data insights, offering a more responsive and evidence-based management framework for non-profit initiatives. This integrated framework aims to support NPOs in overcoming challenges such as uncertain funding and limited capacity, thereby enhancing efficiency, accountability, and social impact. The study concludes that this model holds strong potential for optimizing non-profit project performance and recommends future empirical validation in real-world non-profit settings to refine the framework and explore the transformative role of emerging technologies in the sector.
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Copyright (c) 2025 Daniel Kweku Assumang, Taiwo Oluwatosin Olotu, Henry Asusheyi Obajaja, Omowumi Folorunso, Isen Bella
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