Development of a Decision-Making System for Choosing Software in the Field of Data Management

L. Gadasina, A. Manzhieva

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование


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.

Язык оригиналаанглийский
Название основной публикацииAdvances in Automation II
Подзаголовок основной публикацииProceedings of the International Russian Automation Conference, RusAutoConf2020, September 6-12, 2020, Sochi, Russia
РедакторыAndrey A. Radionov, Vadim R. Gasiyarov
ИздательSpringer Nature
ISBN (печатное издание)9783030711184
СостояниеОпубликовано - 2021
СобытиеInternational Russian Automation Conference, RusAutoConf 2020 - Sochi, Российская Федерация
Продолжительность: 6 сен 202012 сен 2020

Серия публикаций

НазваниеLecture Notes in Electrical Engineering
ИздательSpringer Nature
ISSN (печатное издание)1876-1100


конференцияInternational Russian Automation Conference, RusAutoConf 2020
Страна/TерриторияРоссийская Федерация

Предметные области Scopus

  • Промышленная технология и станкостроение


Подробные сведения о темах исследования «Development of a Decision-Making System for Choosing Software in the Field of Data Management». Вместе они формируют уникальный семантический отпечаток (fingerprint).