Using data analysis methodology to foster professional competencies in business informaticians

Abstract

This paper addresses the topical issue of searching for optimum technology for fostering professional competencies in a target audience of business informatics students. The authors discuss the relevance of using the competency-based approach in the context of pedagogical goal-setting. The work describes the key stages in a study that involved identifying several areas of activity for business informaticians to focus on in the fields of all-round and deep data analysis and data warehousing. The paper describes the authors' own methodology for helping a student master fundamental algorithms and methods of business analysis. The work shares the findings from the authors' pedagogical experiment on fostering said competencies. The study employed the following methods: analysis, synthesis, formalization, methods of mathematical statistics (Rosenbaum's Q test), and pedagogical experimentation.