Advancing University Management Decision - Making Through Data Warehousing and OLAP - Driven Decision Support Systems

In optimizing the university's business processes, there is also a mix of operational, academic, and administrative 'ingredients', which often requires the decision - maker to mediate between the insights protruded by data and those based on people and the institution. The major challenge is associated with the disintegration of the data concerning processes, which is collected from various sources and needs to be integrated into a unified system to support decision - making. To this end, the current study attempts to advance the concept of a Decision Support System (DSS), which is designed to aggregate data from many sources and analyze it to make sense to university managers. This paper aims to review the basic concepts of the DSS, the role of the DSS in simplifying and improving the business processes of the universities, and the design of the interactive DSS model with operational and strategic perspectives. Moreover, the research identifies the core disciplines that enhance the functionality of DSS, including decision analysis, data warehousing, and OLAP systems. The primary focus of this work is to strengthen university operations by introducing a solid structure in the form of a data - driven DSS that will allow the various stakeholders to use the system to make informed decisions.