Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Development of a Decision-Making System for Choosing Software in the Field of Data Management. / Gadasina, L.; Manzhieva, A.
Advances in Automation II: Proceedings of the International Russian Automation Conference, RusAutoConf2020, September 6-12, 2020, Sochi, Russia. ред. / Andrey A. Radionov; Vadim R. Gasiyarov. Springer Nature, 2021. стр. 80-89 (Lecture Notes in Electrical Engineering; Том 729).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Development of a Decision-Making System for Choosing Software in the Field of Data Management
AU - Gadasina, L.
AU - Manzhieva, A.
N1 - Gadasina L., Manzhieva A. (2021) Development of a Decision-Making System for Choosing Software in the Field of Data Management. In: Radionov A.A., Gasiyarov V.R. (eds) Advances in Automation II. RusAutoConf 2020. Lecture Notes in Electrical Engineering, vol 729. Springer, Cham. https://doi.org/10.1007/978-3-030-71119-1_9
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Data management
KW - Functional completeness
KW - Software products
KW - Software selection
UR - http://www.scopus.com/inward/record.url?scp=85104822527&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/58c34dde-a7b1-3a9a-94fa-18632c30d792/
U2 - 10.1007/978-3-030-71119-1_9
DO - 10.1007/978-3-030-71119-1_9
M3 - Conference contribution
AN - SCOPUS:85104822527
SN - 9783030711184
T3 - Lecture Notes in Electrical Engineering
SP - 80
EP - 89
BT - Advances in Automation II
A2 - Radionov, Andrey A.
A2 - Gasiyarov, Vadim R.
PB - Springer Nature
T2 - International Russian Automation Conference, RusAutoConf 2020
Y2 - 6 September 2020 through 12 September 2020
ER -
ID: 75608721