title: Ð Ð°Ð·Ð²Ð¸ÑÐ¸Ðµ ÐºÐ¾Ð½ÑÐµÐ¿ÑÐ¸Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÐ¼Ð¸ Ð¿ÑÐ¸ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ð¸ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¹ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÐ° Ð½Ð° Ð¿ÑÐ¸Ð¼ÐµÑÐµ ÑÐ¸ÑÐµÐ¹Ð»-ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of the concept of data management in the implementation of artificial intelligence technologies on the example of a retail company
Creators: name: ÐÑÐ¾ÑÐ²Ð¸ÑÐ½Ð¸Ð½Ð°, ÐÐ½Ð°ÑÑÐ°ÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð´Ð°Ð½Ð½ÑÐ¼Ð¸ Ð² ÑÐ¸ÑÐµÐ¹Ð»Ðµ
Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ðµ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð´Ð°Ð½Ð½ÑÑ
ÑÐµÐ¾ÑÐ³Ð°Ð½Ð¸Ð·Ð°ÑÐ¸Ñ Ð¾ÑÐ´ÐµÐ»Ð° Ð¿Ð¾ ÑÐ°Ð±Ð¾ÑÐµ Ñ Ð´Ð°Ð½Ð½ÑÐ¼Ð¸
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ð² ÑÐ¸ÑÐµÐ¹Ð»Ðµ
Ð¾ÑÐµÐ½ÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸
data management in retail
data quality improvement
reorganization of the data department
machine learning in retail
performance evaluation
efficiency assessment

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description: The aim of the paper was to improve the concept of data management in order to improve data quality when implementing machine learning technologies in a retail company. Tasks: Â­1) to identify the problems associated with the insufficient level of organization of work with data; 2) to assess the analytical maturity of the company in question; Â­3) to justify the need to develop the concept of data management; Â­4) to develop the âto beâ architectural model of a retail company when implementing machine learning technologies; 5)Â­ to evaluate the economic efficiency of data quality improvement. Work is performed on the basis of a Digital Hotel apart-hotel. Methods: data collection and analysis, business process modeling in BPMN, modeling of motivational aspect, architecture modeling, static methods of project performance evaluation. The main results of the work: Â­ 1) problems related to the insufficient level of organization of work with data were identified; Â­ 2) approaches to data-based management were investigated; Â­ 3) analytical maturity of the company was assessed; Â­ 4) business processes were modeled and analyzed; Â­ 5) target architecture modeled and analyzed; Â­ 6) economic efficiency indicators were calculated. The practical significance of the work is determined by the improvement of data quality sufficient for the functioning of the implemented technologies. Conclusions. The tasks of the thesis have been solved, the goal has been achieved, the scope of the results has been determined.