Managing student data: a data mining-based framework for business schools

Abstract

The business education domain offers a fertile ground for many interesting and challenging data mining applications. Nowadays, all reputed business schools almost generate mountains of administrative data. This data is a strategic resource to business school management. Making the most use of these strategic resources will lead to the main objective of business school’s mission and vision that improves the quality of processes. To analyse students data in business schools, a deep understanding of the knowledge hidden among the data is required. Data mining techniques can be used to extract unknown patterns, which would assist decision makers to improve the decision-making and policy-making procedures. This paper demonstrates the ability of data mining in improving the student counselling processes by offering a proposed business school data mining framework. One of the objectives of this paper is to develop a holistic framework for educational purpose using data mining techniques.