Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
The understanding of the need to apply reliable data management methods requires the company’s management focus on the practical questions. Special attention should be paid to tools that ensure that the company’s data usage goals are achieved. A significant difficulty in implementing the company’s data management practices is caused by the lack of resources or services on the market for selecting software in this area. This paper analyzes the market for technology services for the main data management knowledge arias. Based on the analysis, we developed the decision support system for selecting software in the field of data management. The system contains five steps. Firstly, users select the required area of expertise, then mark the functions that must be performed by the software product that they need. On the third and the forth steps the system selects software products using the functional completeness criterion. Finally, users get the list of software products that meet the requirements for the functions performed. The created solution will allow the company’s management interested in data management to get acquainted with the available offers on the market and software product characteristics, select the most appropriate functions and the optimal software product under their needs.
Original language | English |
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Title of host publication | Advances in Automation II |
Subtitle of host publication | Proceedings of the International Russian Automation Conference, RusAutoConf2020, September 6-12, 2020, Sochi, Russia |
Editors | Andrey A. Radionov, Vadim R. Gasiyarov |
Publisher | Springer Nature |
Pages | 80-89 |
Number of pages | 10 |
ISBN (Print) | 9783030711184 |
DOIs | |
State | Published - 2021 |
Event | International Russian Automation Conference, RusAutoConf 2020 - Sochi, Russian Federation Duration: 6 Sep 2020 → 12 Sep 2020 |
Name | Lecture Notes in Electrical Engineering |
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Publisher | Springer Nature |
Volume | 729 |
ISSN (Print) | 1876-1100 |
Conference | International Russian Automation Conference, RusAutoConf 2020 |
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Country/Territory | Russian Federation |
City | Sochi |
Period | 6/09/20 → 12/09/20 |
ID: 75608721