Abstract: Providing universities with high technology-enabled automation tools to support the administrative decision-making processes will enable them to achieve their objectives. For an institution to succeed in its everyday tasks, it should come up with the emerging and modernized management services constituted, among others, by cloud, mobile, and business analytics technology. With this, the institution’s operations and management efficiency are ensured. This study aims to develop a system with descriptive analytics named as MET Online Services that will automate and optimize the monitoring of extension services key performance indicators (KPIs) in order to help the institution in making better, data-driven decisions. The dashboards and interactive visualizations of the developed system will provide quick access to real-time progress of the extension services programs, projects, and activities. Results interpretation depicted that the developed system is indeed feasible for implementation, proven to be fully-functional and passed the quality software standards of a Certified Software Quality Assurance Specialist. As the developed system satisfied the users’ expectations and requirements, it would be an effective tool for the institution, extension services unit, and community, to make better strategic decisions and continuously deliver quality services to the community.

Noelyn M. De Jesus and Lorissa Joana E. Buenas. “Descriptive Analytics and Interactive Visualizations for Performance Monitoring of Extension Services Programs, Projects, and Activities”. International Journal of Advanced Computer Science and Applications (IJACSA) 14.1 (2023). http://dx.doi.org/10.14569/IJACSA.2023.0140173

@article{Jesus2023,
title = {Descriptive Analytics and Interactive Visualizations for Performance Monitoring of Extension Services Programs, Projects, and Activities},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140173},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140173},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {1},
author = {Noelyn M. De Jesus and Lorissa Joana E. Buenas}
}