E3S Web Conf.
Volume 210, 2020Innovative Technologies in Science and Education (ITSE-2020)
|Number of page(s)||8|
|Published online||04 December 2020|
Analysis of financial and economic indicators of agricultural enterprises in the region based on open data sources
1 Surgut State University, 628403, Surgut, Lenin Ave., 1, Surgut, Russia
2 Rostov State University of Economics (RSUE), 344002, Bolshaya Sadovaya Str., 69, Rostov-on-Don, Russia
3 Don State Technical University, 344003, Gagarin sq., 1, Rostov-on-Don, Russia
* Corresponding author: firstname.lastname@example.org
The article presents and tested a new technique that allows performing financial and economic analysis of enterprises in a given industry in order to optimize its management, based on open internet data sources, using licensed software, as well as on the basis of classical methods of intellectual data mining (further - IDM), as well as systems of fuzzy logic conclusions. The main advantages of this technique are independence in obtaining data and its universality. With a little improvement, this technique can be used to analyze enterprises in almost any sectors of OKVED. In the future, it is planned to develop a new software package that allows you to perform financial and economic analysis of enterprises in a given sector in automatic mode.
© The Authors, published by EDP Sciences, 2020
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.