Development of a Data Mart for Business Analysis of the University’s Economic Performance

In higher education there exist numerous strategic tasks impossible or too labor intensive to be solved by traditional methods, with one being financial planning, which allows for all planned activities during the academic year. Simultaneously, a university’s total budget is not static and can be adjusted several times a year due to changes in the student body. Furthermore, a decrease in the number of students due to academic failure or an incorrectly defined enrollment plan for specific training programs can result in this program becoming economically unfeasible due to the costs outweighing the income contingent on the size of the student body. The objective of this work is using data management to improve monitoring and forecasting the economic performance at Kemerovo State University. Universities accumulate a vast amount of heterogeneous data, the analysis of which can ensure decision-making based on data, not on intuition. Analysis of large amounts of data is impossible without the use of modern products and technologies pertaining to Business Intelligence. The paper sets the task of creating a Decision Support System (DSS) related to filling the university’s budget through enrollment or expulsion of students and the economic evaluation of specific training programs. Research methods involve creating a DSS with a description of the main results on each stage alongside statistical data analysis. Introducing an information system at the university made it possible to predict student retention and potential budget losses, evaluate economic indicators in the implementation of training programs, and make decisions on their adjustment. #COMESYSO1120.