Высокочастотные данные, характеризующие розничную торговлю: интересы государства, предприятий и научных организаций

Currently, there is a rapid development of technologies for collecting and analyzing big data, including those characterizing trade. This data, with a high degree of detail, takes into account the whole variety of consumer decisions, which allows to develop key management proposals on what, where and when to produce and sell. Banks, retail chains, and the state are actively interested in these data. At the same time, there is a weak use of big data in the activities of individual small and medium-sized enterprises. The purpose of this study is to highlight the problems and prospects for their application for management purposes, based on an analysis of the current practice of using high-frequency retail data. As a result of the study, the features of the available data of retail companies, payment systems and OFDs, which are manifested in their different structure and limitations for use. It is shown that big data characterizing retail trade is available to a narrow circle of people who, as a rule, have their own interests, which are not yet consistent with the idea of open publication of these data, even for scientific purposes. There are very few research publications based on high-frequency fiscal data. Сloseness of data determines the weak use of microdata for management purposes.