Building a Comprehensive API Ecosystem for Non-profit Digital Analytics
DOI:
https://doi.org/10.32628/CSEIT251112121Keywords:
Nonprofit Digital Analytics, API Integration Architecture, Donor Management Systems, Machine Learning Analytics, Data Synchronization FrameworkAbstract
This article presents a comprehensive technical framework for integrating AI-driven analytics and API ecosystems in nonprofit organizations. The implementation combines advanced donor analytics with multi-platform data synchronization, enabling organizations to effectively leverage social media interactions, advertising metrics, and donor behavior patterns. The system architecture incorporates sophisticated machine learning models for predictive analytics, a distributed computing infrastructure for data processing, and robust API integrations across multiple platforms. Through token-based authentication systems and automated workflow management, the framework ensures secure and efficient data handling while maintaining scalability. The implementation significantly improves donor retention, operational efficiency, and engagement metrics, providing nonprofits with powerful tools for data-driven decision-making.
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Nabila Ahmed et al., "Digital Transformation in Non-Profit Organizations: Strategies, Challenges, and Successes," ResearchGate, September 2024. Available: https://www.researchgate.net/publication/384667845_Digital_Transformation_in_Non-Profit_Organizations_Strategies_Challenges_and_Successes
Omar Faruq et al., "AI-Driven Strategies for Enhancing Non-Profit Organizational Impact," ResearchGate, September 2024. Available: https://www.researchgate.net/publication/384935968_AI-Driven_Strategies_for_Enhancing_Non-Profit_Organizational_Impact
Erica Jensen, "Research Summaries: Artificial Intelligence and Data for Nonprofits," Journal of Nonprofit Innovation, vol 4, issue no. 2, 6-26-2024. Available: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1122&context=joni
Justin Holzer, "Machine Learning for Nonprofit Organizations," Journal of Nonprofit Innovation, vol. 4, Issue no. 2, 6-26-2024. Available: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1117&context=joni
Ethan Mollick, "The dynamics of crowdfunding: An exploratory study," Journal of Business Venturing, Volume 29, Issue 1, January 2014, Pages 1-16. Available: https://www.sciencedirect.com/science/article/pii/S088390261300058X
Nigel P. Melville and R. K. Sharma, and D. Wilson, "Roadblocks to Implementing Modern Digital Infrastructure: Exploratory Study of API Deployment in Large Organizations," Proceedings of the 54th Hawaii International Conference on System Sciences, 2021. Available: https://scholarspace.manoa.hawaii.edu/server/api/core/bitstreams/1f0e37f6-2aeb-4a81-9e50-0dace4003368/content
Hanaa Albanna et al., "An integrated model for using social media applications in non-profit organizations," International Journal of Information Management, Volume 63, April 2022, 102452. Available: https://www.sciencedirect.com/science/article/abs/pii/S0268401221001456
Appythings, "Optimizing API Programs with Monitoring and Analytics." Available: https://library.appythings.com/wp-content/uploads/2021/05/3.-Optimizing-API-Programs-with-Monitoring-and-Analytics.pdf
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