Application of "Big data" in operational and intellectual inspection of socio-economic information

Abstract

The purpose of the article is to consider the features of using "big data" in the operational and intellectual analysis of socio-economic information. The use of big data allows one to not be limited to the data set of the Federal state statistics service, the information is not late (work in online mode) and allows you to make decisions with 100% coverage of the sample (in contrast to field research). Moreover, the constructed networks reproduce information cascades and are a "snapshot" of actual socio-economic processes, that is, in fact, a more accurate model for decision-making. However, the proper conceptualization necessary for further implementation of innovative tools has not been developed, and the methodological basis exists at the level of the "first approach" or general discussion. There is an urgent need for theoretical and methodological justification of draft decisions to create a new model for making management decisions and evaluating the effectiveness of government bodies, based on comprehensive operational information support, fully taking into account the interests of the subject of management in the socio-economic sphere. This increases the role of conceptualizing digital sociology, developing new theoretical and methodological approaches to design innovative management and monitoring systems based on big data, and exploring the possibility of introducing new information processing algorithms. The author comes to the following conclusions: the results obtained from the data inspection can be used in various ways. The first use case involves metadata monitoring: in continuous access mode, the monitoring subject receives values of key characteristics of the system under examination, as well as technical parameters of the data processing, such as the degree of utilization of computing power and data storage. In the second version, focused on monitoring information, the content of processes is reflected through a subsystem that displays such processes as receiving, collecting and analyzing data, as well as mediating navigation through them in real time. The result of the described algorithm can be the formation of reporting forms and visualization tools for monitoring results, as well as the adaptation of an array of information for subsequent processing by statistical data inspection systems. Based on the results of the examination, the existing approaches to the formation of monitoring systems of socio-economic orientation are systematized and the expediency of building an information system of an innovative type based on the principles of digital sociology and big data is justified. During the implementation of the project, the possibilities of collecting big data arrays were examined, as well as the most effective domestic and foreign practices of building and operating monitoring systems based on the inspection of big data of a socio-economic nature were checked.