Finding a conceptual approach to developing an architecture of general-purpose services for economic researches

The object of research is the architecture of general-purpose services for economic researches. The excessive popularity of service-oriented architecture implementations has led to consideration of the application of this approach in the production of organizations engaged in processing statistical 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 solutions for compiling these functions into a program for implementing a statistical task solution, using orchestration as a basis for dynamic service calls.The paper proposes an approach to the development of external statistical services as a set of software products for solving analytical tasks by groups of independent researchers. Since such researchers do not have sufficient financial support, the use of external statistical services will allow them to conduct an 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 typically consists of a set of procedures that implement certain statistical operations and data transformations, 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 possibilities 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.