Improving the Quality of Decision Making in Educational Institutions with Business Intelligence

Diar Eka Purnama; Abdul Hamid Arribathi; Nur Azizah; Henderi Henderi

doi:10.22441/collabits.v3i2.39388

Authors

Diar Eka Purnama Raharja University, Indonesia
Abdul Hamid Arribathi Raharja University, Indonesia
Nur Azizah Raharja University, Indonesia
Henderi Henderi Raharja University, Indonesia

DOI:

https://doi.org/10.22441/collabits.v3i2.39388

Keywords:

Business Intelligence, Decision-Making, Educational Institutions, Data-Driven Culture

Abstract

Effective decision-making in educational institutions relies heavily on the availability of accurate, timely, and easy-to-interpret data. However, many schools and colleges still face challenges in managing data spread across various systems, so decisions are often made based on assumptions or partial information. This study aims to analyze the use of Business Intelligence (BI) to improve the quality of decision-making in educational institutions. In this study, a qualitative approach is used with case studies in three educational institutions that have implemented the BI system. The procedure in this study is by: collecting data through interviews with institutional leaders, observation of the use of analytical dashboards, and analysis of policy documents. The results show that BI enables real-time data visualization related to academic performance, resource allocation, and stakeholder satisfaction, thereby accelerating and strengthening strategic and operational decision-making processes. In addition, BI encourages a data-driven culture that increases transparency and accountability. However, the success of BI's implementation is greatly influenced by the readiness of digital infrastructure, human resource competence, and the commitment of top management. This study concludes that BI is an effective strategic tool for education governance transformation, as long as it is holistically integrated into the institutional management system. These findings provide practical recommendations for education leaders seeking to improve the quality of decisions through the use of analytics technology.

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