The challenges in using economic big data analytics in higher education

Abstract

Object: To identify key challenges in using Big Data technologies in public administration of education.
Methods: A grouping method of research OLTC (opportunities, limitations, trends and challenges), survey, structural equation modeling, confirmatory factor analysis.
Results: This study highlights the importance of big data analytics adaptation for organizational performance mediated by knowledge management. The theoretical concepts of Big Data Analytics are building up with new challenges. In particular, Big Data Analytics application in education has its own further development issues addressed for decision-making and problem solving of public administration.
Conclusions: This study outlines the priority directions how to apply Big Data Analytics in education administration at higher education institutions (HEI) in Kazakhstan.