title: ÐÐ¾Ð´ÐµÐ»Ð¸ Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸ÑÐ¼Ð¸ ÑÐ¾ÑÐ³Ð¾Ð²Ð»Ð¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð±Ð¾Ð»ÑÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Models and methods of managing trade enterprises based on big data analysis
Creators: name: ÐÐ»Ð°ÑÐ¾Ð½Ð¾Ð², ÐÐ¼Ð¸ÑÑÐ¸Ð¹
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: Ð±Ð¾Ð»ÑÑÐ¸Ðµ Ð´Ð°Ð½Ð½ÑÐµ
Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ðµ ÑÐ¾ÑÐ³Ð¾Ð²Ð»Ð¸
Ð°Ð½Ð°Ð»Ð¸Ð· Ð±Ð¾Ð»ÑÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ
ÑÑÑÐ°ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸ÐµÐ¼
ÑÑÐ°ÑÐ¸ÑÑÐ¸ÐºÐ°
big data
trade enterprise
big data analysis
clusterization
stratification
enterprise management
statistics

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description: The significance of the WRC topic is due to the fact that the use of big data analysis in the management of trading enterprises allows companies to be more flexible, competitive and efficient in a rapidly changing market environment. The introduction of modern data-based management models and techniques helps optimize business processes, make informed strategic decisions and successfully compete in the market The object of the VKR is trading enterprises, that is, commercial organizations involved in the process of buying and selling goods and services. The subject of the study is the statistical support of an information and analytical base to support decision-making using big data. The purpose of the study is to increase the efficiency of decision support technologies in the process of managing trade enterprises through the development and implementation of models, methods and tools for intelligent analysis of big data. The final qualifying work contains tasks related to the analysis of big data processing technologies. In the course of the work, aspects of the development of models and algorithms for intellectual analysis and forecasting for managing a trading enterprise were studied. A combined method of clustering retail outlets in strata was also considered, and a comparative analysis of stratification methods was carried out. Analysis and processing of data used in writing the dissertation research was carried out using the MS Office package (Excel). Based on the data obtained, the potential and composition of assortment matrices, as well as the dynamics of sales indicators by product subcategory names, were analyzed.