Evolution of Approaches to Data Processing Under the Influence of Economic Incentives

This article describes the results of a scientific literature study and practical examples of the production of data processing products that are generated by enterprises of different industries based on international experience. The prerequisites for the development of data-based management approaches are described: firstly, the evolution of architectural approaches to working with data from centralized repositories to decentralized data sets (domains, subject areas) over the past two decades; secondly, the dissatisfaction of companies with the existing data processing mechanisms; and thirdly, the importance of data for internal and external consumers (employees and customers) to make decisions and/or create additional value added (in this step, only in a theoretical view, without quantitative measurement). The role of network relations between business structures in the process of using data as a valuable asset and in the field of digital transformation in general is described. As a result of observation, the concept of the value of products based on data for external and internal consumers (customers and employees) is formulated. It is shown that a higher demand for prepared data sets is observed from the departments involved in the main business processes compared with the departments that belong to the auxiliary or service departments. This article seems to be of an overview nature, and it is intended to highlight the existing private situations in the field of data processing in firms, corporations, and other business structures.