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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 конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Gadasina, L & Manzhieva, A 2021, Development of a Decision-Making System for Choosing Software in the Field of Data Management. в AA Radionov & VR Gasiyarov (ред.), Advances in Automation II: Proceedings of the International Russian Automation Conference, RusAutoConf2020, September 6-12, 2020, Sochi, Russia. Lecture Notes in Electrical Engineering, Том. 729, Springer Nature, стр. 80-89, International Russian Automation Conference, RusAutoConf 2020, Sochi, Российская Федерация, 6/09/20. https://doi.org/10.1007/978-3-030-71119-1_9

APA

Gadasina, L., & Manzhieva, A. (2021). Development of a Decision-Making System for Choosing Software in the Field of Data Management. в A. A. Radionov, & V. R. Gasiyarov (Ред.), Advances in Automation II: Proceedings of the International Russian Automation Conference, RusAutoConf2020, September 6-12, 2020, Sochi, Russia (стр. 80-89). (Lecture Notes in Electrical Engineering; Том 729). Springer Nature. https://doi.org/10.1007/978-3-030-71119-1_9

Vancouver

Gadasina L, Manzhieva A. Development of a Decision-Making System for Choosing Software in the Field of Data Management. в Radionov AA, Gasiyarov VR, Редакторы, Advances in Automation II: Proceedings of the International Russian Automation Conference, RusAutoConf2020, September 6-12, 2020, Sochi, Russia. Springer Nature. 2021. стр. 80-89. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-3-030-71119-1_9

Author

Gadasina, L. ; Manzhieva, A. / Development of a Decision-Making System for Choosing Software in the Field of Data Management. Advances in Automation II: Proceedings of the International Russian Automation Conference, RusAutoConf2020, September 6-12, 2020, Sochi, Russia. Редактор / Andrey A. Radionov ; Vadim R. Gasiyarov. Springer Nature, 2021. стр. 80-89 (Lecture Notes in Electrical Engineering).

BibTeX

@inproceedings{3ae756bfa567431799874309bdcda3b8,
title = "Development of a Decision-Making System for Choosing Software in the Field of Data Management",
abstract = "The understanding of the need to apply reliable data management methods requires the company{\textquoteright}s management focus on the practical questions. Special attention should be paid to tools that ensure that the company{\textquoteright}s data usage goals are achieved. A significant difficulty in implementing the company{\textquoteright}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{\textquoteright}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.",
keywords = "Data management, Functional completeness, Software products, Software selection",
author = "L. Gadasina and A. Manzhieva",
note = "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; International Russian Automation Conference, RusAutoConf 2020 ; Conference date: 06-09-2020 Through 12-09-2020",
year = "2021",
doi = "10.1007/978-3-030-71119-1_9",
language = "English",
isbn = "9783030711184",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Nature",
pages = "80--89",
editor = "Radionov, {Andrey A.} and Gasiyarov, {Vadim R.}",
booktitle = "Advances in Automation II",
address = "Germany",

}

RIS

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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

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T3 - Lecture Notes in Electrical Engineering

SP - 80

EP - 89

BT - Advances in Automation II

A2 - Radionov, Andrey A.

A2 - Gasiyarov, Vadim R.

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T2 - International Russian Automation Conference, RusAutoConf 2020

Y2 - 6 September 2020 through 12 September 2020

ER -

ID: 75608721