Issue |
E3S Web Conf.
Volume 419, 2023
V International Scientific Forum on Computer and Energy Sciences (WFCES 2023)
|
|
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Article Number | 02014 | |
Number of page(s) | 12 | |
Section | Applied IT Technologies in Energy and Industry | |
DOI | https://doi.org/10.1051/e3sconf/202341902014 | |
Published online | 25 August 2023 |
Building data marts to analyze university faculty activities using power BI
Federal State Budgetary Educational Institution of Higher Education «Kemerovo State University», Digital Institute, Kemerovo, Russia
* Corresponding author: skarab@kemsu.ru
Evaluating the performance of university faculty is a hard task because of the diversity of the work performed. The authors assume that the founder of the university evaluates the effectiveness of the university according to performing the teaching staff. The aim of the study is to improve the monitoring of key performance indicators of the university teaching staff based on data management. The authors present an information system to support decision-making related to the teaching staff at Kemerovo State University. The authors of the paper describe creating such a system using Business Intelligence technologies step by step. The authors identified data sources, designed the structure of the data mart and built ETL-processes for its filling, implemented various analytical dashboards. Implementing the information system in the daily activities of the university allows responding promptly to changes in the key indicators, forecasting their further change, deciding on activation of efforts in the chosen direction or types of work.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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