PROSPECTS OF CREATING STATISTICAL SERVICES OF COMMON USEFOR ECONOMIC RESEARCH

Abstract

The excessive popularity of service-oriented architecture implementations has led to considera-tion of the application of this approach in the production of organizations engaged in processing statis-tical and economic information for analytical research. This is due to the possibility of reusing services, each of which is designed to perform specific statistical functions, and the availability of design solu-tions for compiling these functions into a program for implementing a statistical task solution, using orchestration as a basis for dynamic service calls.The article proposes an approach to developing external statistical services as a set of software products for solving analytical tasks by groups of independent researchers who do not have sufficient financial support and for whom the use of externalstatistical services will provide the opportunity to conduct in-depth analysis of their research results. The proposed approach assumes that such a service should have its typical data storage structure with fixed types and attributes, to which the researcher imports their own data, selects a calculation execution scheme, initializes their execution, and receives results. Taking into account this storage scheme, the authors have identified the main groups of metadata necessary to describe the implementation of the statistical process. A statistical business process typi-cally consists of a set of procedures that implement certain statistical operations and data transfor-mations, and the provided set of metadata allows for the realization of the process goal and activity.Issues that require further in-depth research for the practical implementation of the proposed idea have been identified. The use of service-oriented architecture for building statistical processes allows for standardizing the approach by unifying the functions of individual services. The availability of pos-sibilities for practical implementation of software products in a service-oriented architecture using a cloud environment in modern IT industry serves as a guide for further research direction.