Purpose. To substantiate the proposals about priority directions of tax policy change in the information sphere for various sec tors of economy, in particular, mining industry. For development of proposals to analyze the current state of the information sphere, to identify and evaluate the possible risks from changes in taxation, to forecast tax rates using modern mathematical meth ods and algorithms, to set the limit for increasing the tax burden on experts in the information sector.Methodology. The improved method of modeling interval time series was used for prognostication of volume of tax receipts from experts in the information sector and the volume of export of information services. The parameter of volume of export matches the requirements for applying the specified method. This parameter applies to flow variables. The use of the interval series method gives an opportunity to get sums of their levels, which is convenient for solving the task of forecasting. As the model of the socalled mathematical apparatus of forecasting, "Generalized AutoRegressive Conditional Heteroscedasticity" -UARUG (GARCH) was chosen, the Adaptive Rejection Metropolis Sampling (ARMS) was used. The use of ARMS makes provisions for the use of HastingsMetropolis and adaptive rejection sampling (ARS) methods. The obtained results were approximated to con struct analytical equations of predictive parameters over time.findings. A detailed analysis of the situation in the field of information services for various sectors of the economy, in particu lar, mining industry, was conducted. The risks of increasing the tax burden beyond certain boundary values were identified. The calculations of the forecast values of the volume of export of services and the amount of tax burden on the information sector up to 2025 were carried out. This made it possible to scientifically explain possible changes in the tax policy in the information sector. Suggestions for priority directions of tax policy change in the information sector for various sectors of economy, in particular, min ing industry, were given.originality. The specific proposals for priority directions of tax policy change in the information sphere for various sectors of economy are developed and substantiated. The limit of possible increase in taxation on experts in the information sector was grounded and the value of this limit was calculated for the first time. The improved interval time series modeling method was used to forecast the volume of the single social security tax of the future periods and the volume of export of IT services for the first time. In contrast to traditional methods, which rely on existing forecasts, the polynomial approach reducing the relative error is pro posed.Practical value. The detailed recommendations on tax policy change in the field of information services for various sectors of the economy, in particular, the mining industry are given. The need for a change in tax policy, for individual entrepreneurs in particular, is pointed out. It is noted that the pr...

The problem of creating a decision support system (DSS) for products/services in IT companies using an effective conceptual approach has been solved. The developed mathematical model of DSS for IT-business is represented. It-business is considered as a business focused on implementation and support of innovative projects. The mathematical model is intended for the use by an IT company as a separate IT project and a group of IT projects. Elements of graph theory and tensor analysis were used to create the mathematical model. DSS, with the use of the mentioned model, can be interactive and offer an effective solution by minimizing or maximizing the factor or group of factors that influence that decision. The search for the best DSS solution was reduced to the task of optimizing the integrated criterion, minimizing or maximizing the factor or group of factors influencing the decision. Since the possibility of negative values of the objective function for certain parameters of the weight of the edge of the digraph was clarified, the application of the Bellman-Ford algorithm for this reason was justified. The method of linear convolution was used for efficient operation of the algorithm. This allowed us to use the algorithm to solve multicriteria problems, in the absence of information about the form of the integral function. An adaptive algorithm was used to speed up the work. It is that the results of query processing form a database of templates. This will allow you to quickly find a solution for a similar query, even if you change the initial conditions. A universal approach to structuring the work of an IT-company has been developed. This allows formalizing requests to the DSS and to receive formalized responses both at the specific stage of the project, a separate type of work on the project and the project portfolio and the IT-company as a whole. This, in turn, allows optimizing the use of computer resources when working with DSS, reducing both the time to perform requests in the interactive mode, and for the formation of variants of the solutions for the tasks set by the user via DSS. Structuring according to the main features of the project allowed group the work of the IT company according to available resources and desired results. This will allow you to plan and organize the work of each employee to work not only in one project, but to perform work in different projects. It is also possible to plan and organize the work of working groups. Each of the executors of these groups is formally subordinated to their structural units and, at the same time, to the coordinator of the respective project. The proposed approach allows you quickly reorienting DSS to perform radically different tasks, to fulfill a different purpose, to other areas of work of an IT company, other projects. It would only take time to update and replenish the DSS database.

No abstract