Digitalization and Optimization of University Business Processes through BPM and KPI Integration

Abstract

Introduction: The digitalization of business processes has become a necessity for organizations to enhance their efficiency and productivity. Higher education institutions, in particular, are increasingly turning to digital solutions to streamline administrative operations and improve service delivery to students.

Objective: This study aims to digitalize and improve the business processes of the university by leveraging Business Process Management (BPM) mechanisms and new technologies. The primary focus is on optimizing student support processes to enhance efficiency, reduce administrative delays, and improve communication between students and academic staff.

Methods: This research follows a structured approach that includes: First, Business Process Analysis and Design – Identifying users, tasks, and all relevant process elements to design an optimized student support process. Second, Integration of KPIs in BPM – Incorporating Key Performance Indicators (KPIs) into digitalized business processes to improve performance and quality within the digital transformation framework.

Results: The paper presents the development of BP-KPI, a solution that integrates BPM and KPIs to automate and enhance student support at Oran University of Science and Technology Mohamed-Boudiaf (USTO). The BP-KPI platform offers functionalities such as automated task assignment, real-time progress tracking, and personalized notifications for students.

Discussion: By streamlining student support processes, the proposed solution minimizes administrative delays, improves resource allocation, and fosters efficient communication between students and academic authorities. The integration of BPM and KPIs demonstrates strong potential in addressing challenges within student services. Furthermore, the BP-KPI framework offers a scalable model for digital transformation in higher education, contributing to enhanced institutional efficiency, personalized student assistance, and data-driven decision-making.