Reengineering of Business Processes of the Higher School: its Prerequisites
Bogdanova Anna Vladimirovna1, Aleksandr A. Korostelev2, Olga L. Shepelyuk3, Anna E. Rodionova4, Irina N. Fardeeva5, Andino Maseleno6
1Bogdanova Anna Vladimirovna, Togliatti State University, Russia.
2Aleksandr A. Korostelev, Togliatti State University, Russia.
3Olga L. Shepelyuk, Tyumen Industrial University, Russia.
4Anna E. Rodionova, Bashkir State Pedagogical University Named after M. Akmulla, Russia.
5Irina N. Fardeeva, Kazan Federal University, Naberezhnye Chelny Institute, Russia.
6Andino Maseleno, Department of Information Systems, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia STMIK Pringsewu, Lampung, Indonesia.
Manuscript received on 02 May 2019 | Revised Manuscript received on 14 May 2019 | Manuscript Published on 23 May 2019 | PP: 91-94 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F10150476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents reengineering of business processes of the higher school. Reengineering in the framework of this article means the change in the functional structure of business processes due to the impact of various factors of the external and internal environment of the university. It is noted that the need for business process reengineering appears in each university periodically, as the processes themselves tend to minimize changes, and the requirements for the university from the outside are constantly increasing. It was concluded that the use of information technologies as the basis for the reengineering of business processes of a university allows one to streamline this process and practically eliminate or at least noticeably minimize redundant informational activities.
Keywords: Reengineering, Business Processes, Higher School, University.
Scope of the Article: Big Data Analytics and Business Intelligence