Data-Driven Decision Making in Educational Institutions: Opportunities and Barriers

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Asha Pillai

Independent Researcher

Kerala, India

Abstract

In the fast-evolving educational environment of today, data-driven decision making (DDDM) has become a revolutionary way of institutional performance and student success. The paper discusses the potential as well as pitfalls of applying DDDM within educational institutions. Based on the synthesis of theoretical frameworks, empirical research, and case illustrations, the research identifies the potential advantages of data utilization—such as enhanced resource allocation, targeted learning, and strategic planning—also with important pitfalls such as data quality, ethics, technological competence, and resistance from the stakeholders. The research utilizes the mixed-methods approach with the integration of qualitative literature findings and quantitative case studies from different education environments. The findings emphasize that while DDDM can play a substantial role in the decision-making process, institutional success is based on the right infrastructure, strategic planning, and the development of a data‐literate culture. This paper concludes by offering a framework for overcoming the key challenges and for leveraging the potential provided by data-driven initiatives in education.

Keywords

Data-driven decision making, educational institutions, data quality, technological barriers, educational reform, strategic planning

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