This article examines the theoretical and practical aspects of developing a management accounting system based on modern analytical methods in order to improve enterprise performance. The necessity of transforming management accounting from a traditional accounting system into a tool for analytical support of managerial decision-making is substantiated. The study employs general scientific and economic-statistical methods, including analysis, synthesis, comparative analysis, and econometric modeling. A multiple regression model is proposed to assess the impact of the level of development of the management accounting system, the use of analytical methods, and the degree of digitalization of accounting processes on the integral indicator of enterprise performance. The research results demonstrate a stable positive relationship between the studied factors and performance, with modern analytical tools (KPI, factor analysis, and marginal analysis) having the greatest impact. Based on the findings, practical recommendations for improving the management accounting system have been developed, including the implementation of KPI systems, the development of analytical tools, and the integration of digital technologies. The application of the proposed approaches contributes to improving the quality of managerial decisions, optimizing costs, and ensuring sustainable enterprise development

This article focuses on the classification of current obligations and the principles of their accounting, and it is emphasized the need to increase the reliability of financial information by ensuring the accurate and correct calculation of obligations and their reflection in financial reports. Modern methods used in the calculation of current liabilities and their importance are analyzed, ways to simplify these processes and, as a result, to improve financial analysis are considered.

This article analyzes the development trends of communication and informatization services for the population in the Kashkadarya region and develops multifactor empirical models for forecasting these services. Based on regional statistical data, the key influencing factors are identified, and their impact on service volume is assessed using econometric methods. The study employs regression analysis, time series analysis, and modern econometric approaches in model construction. The obtained results allow forecasting the future dynamics of communication and informatization services and provide practical recommendations for sector development. The findings are significant for enhancing regional economic growth, improving digital infrastructure, and ensuring effective management of the service market

This study is devoted to the analysis of the current state of practice in Uzbekistan in improving the methodology for forecasting direct taxes. The study studied the current mechanisms of forecasting processes for the main direct taxes, such as profit tax, personal income tax, and property and land taxes. Based on statistical analysis, comparative assessment, and economic modeling methods, factors affecting the accuracy and stability of forecast indicators were assessed. The impact of macroeconomic indicators, tax base expansion, and tax administration digitization processes on the quality of forecasting was also revealed. Based on the results of the study, scientific and practical proposals and conclusions were developed aimed at using modern economic and mathematical models in forecasting accurate tax revenues, improving the information base, and strengthening the institutional approach

This article analyzes the management directions of training competitive specialists based on the integration of higher education and the labor market. The study highlights the importance of aligning the content of education with modern labor market requirements and strengthening effective cooperation between higher education institutions and industrial enterprises. The key competencies of competitive specialists-professional qualifications, innovative thinking, effective use of information technologies, and foreign language proficiency are identified. Based on the findings, proposals are developed to adapt the higher education system to labor market needs, enhance practical training, and take regional characteristics into account