Rogulin R. S.

Relevance of the topic. The need for expertise in data analysis and machine demand forecasting and forecasting in the management of probability chains. Target. analysis of variance, analysis, data analysis and machine forecasting, demand forecasting and planning, probability chain management. Methodology. Scoping case studies and research papers to explore the use of this method in finding chain-of-reference efficiency, stock utilization, shortage reductions, and customer characteristics. Results and samples. Several problems and limitations were identified, including quality issues and the need for qualified personnel. Suggestions have been made to overcome the problems, including improving the quality of data and investing in staff training and maintenance. The study also explores future research directions in data science research in the areas of time impact and predictive analytics. The results of this study have important implications for probability and observation chain managers in terms of the use cases, challenges, and expected outcomes of research on data analysis and machine learning methods in demand forecasting and planning. Application area. The sphere of chain management at the mesolevel.

The relevance of the topic. An important factor in the effectiveness of monitoring is the timely provision of reliable information received from all participants in socio-economic regional development. Goal. Improving the organization of monitoring based on the replenishment of information systems with profile indicators. Methodology. Theoretical research methods such as analysis, synthesis and generalization are used. Results and conclusions. Based on the analysis and evaluation of the identified trends in the organization of monitoring of socio-economic development, conceptual proposals for improving information systems, in terms of replenishing them with profile indicators, are formulated. This will significantly affect the timely receipt of information during monitoring and the ability to process the information received. Scope of application. The results can be applied in the daily activities of the executive authorities of the subjects of the Russian Federation and territorial federal authorities.