This article examines the role of Big Data in public procurement processes and its significance for economic efficiency and anti-corruption measures. The study discusses the current state of electronic trading platforms introduced in Uzbekistan under the “Public Procurement” law, focusing on detecting deviations from market-based pricing and identifying “preferred supplier” practices at early stages. It shows how Big Data techniques enable real-time analysis of suppliers’ data, including the application of AI-based “red flag” alerts to prevent dumping or corrupt agreements. The findings indicate that Big Data methods can reduce the price differential, strengthen competition, and improve the effective utilization of budget funds in the public procurement system.

The rapid development of digital technologies has changed the way data is collected, stored, and analyzed. Big Data has created new opportunities and challenges for econometric research. This article discusses the integration of econometric methods with big data analysis, the methodological innovations needed, and the results of empirical economic research. The study also highlights modern tools and ideas that help econometricians manage the complexity and scale of large data sets while maintaining model accuracy and interpretability. It also highlights how the combination of traditional econometric thinking and computational methods can improve the quality and scope of economic analysis in the modern digital economy

The article examines the impact of digitalization on business planning in commercial banks. It analyzes artificial intelligence, Big Data, and cloud computing technologies that improve forecasting accuracy. Key digital solutions and their further development prospects in the banking sector are identified.

The article analyzes the processes of digital transformation of the banking system of the Republic of Uzbekistan in recent years, achievements, and current pressing issues. The study examined the role of the digital economy in the activities of commercial banks, in particular, the role of Big Data technologies and online platforms, their significance in increasing banking efficiency, and innovative approaches such as blockchain. Based on the theoretical approaches of scientists to assessing banking efficiency, the skills of banks in minimizing costs and optimizing profits are emphasized. In conclusion, the necessity of forming a digital transformation ecosystem in Uzbekistan, expanding the fintech infrastructure, and increasing the competitiveness of the banking system through the implementation of international standards has been put forward

With the rapid development of technologies and the intensification of global competition, the importance of digital processes in all spheres of human life is increasing. It will not be a mistake to say that the use of digital technologies in all aspects of socio-economic life, starting with the public administration system, has become a key factor determining the development and future of the industry. The article pays special attention to the scientific substantiation of the main trends and historical stages of the formation of the digital economy, the processes that determined its development, as well as the general characteristics of the modern economic system. In addition, against the background of the progressive development of digital technologies and their integration into the global economy, the main trends in the development of the digital economy are recently analyzed and appropriate conclusions are made. The study considers the state of the world market, the balance of supply and demand, as well as the contribution of modern economic knowledge and digital technologies to trade. The impact of such trends as artificial intelligence, big data, cloud technologies, blockchain, cryptocurrencies, mobile technologies, e-commerce and digital financial services on economic efficiency will be considered, and proposals will be put forward on the state of development of the digital economy, current problems and main areas of prospects using the example of Uzbekistan.

This article examines the development of modern banking products based on customer demand and the improvement of their efficiency. It analyzes the implementation of innovative technologies in the banking sector, such as biometric identification, artificial intelligence, Big Data, the Internet of Things (IoT), and digital platforms. The study highlights that digital transformation enhances the quality of banking services, strengthens data security, and increases customer trust.

This study analyzes the impact of introducing digital and innovative technologies on the economic efficiency of the service sector. The research is conducted using economic-statistical and comparative analysis methods based on national and international data. The results demonstrate that the implementation of digital technologies, particularly artificial intelligence, big data, and cloud technologies, contributes to increasing labor productivity, reducing transaction costs, and improving service quality. Based on the findings, practical recommendations aimed at developing the digital economy in the service sector have been proposed.

This article analyzes the priority areas of improving tax administration in the Republic of Uzbekistan, in particular, the issues of digitization of the tax system, implementation of international standards (OECD) and optimization of tax control. During the study, specific solutions were proposed to reduce the human factor in selecting candidates for tax audits, accelerate analytical processes using "Big Data" technologies, and expand the tax base in the field of e-commerce. It also covers mechanisms for reducing the administrative burden by introducing a tax monitoring system for large taxpayers and establishing cooperation with taxpayers based on mutual trust

This article analyzes the role and importance of digital transformation in the sustainable development of the regional economy theoretically and methodologically. The impact of digital technologies - artificial intelligence, big data, cloud computing, IoT and electronic platforms on regional economic systems is studied, and their role in the efficient use of resources, increasing production productivity, enhancing investment attractiveness and ensuring socio-economic stability is substantiated. The study examines the institutional, economic and social aspects of digital transformation in regional development based on an integrated approach. The results obtained indicate the possibilities of reducing interregional disparities and achieving sustainable economic growth through the digitalization of regional policy.

This article analyzes the application of dynamic econometric models in economics, particularly the contemporary trends observed in recent years. These models (for example, DSGE, VAR, and dynamic panel models) serve as primary tools for evaluating economic dynamics, shock impacts, and policy assessment, with their precision being enhanced through the integration of machine learning (ML) and big data. The methodology employs a systematic literature review, involving the analysis of several research studies from prestigious journals. The results demonstrate that DSGE models provide macroeconomic forecasts with RMSE values ranging from 0.15 to 0.25, VAR models assess shock impacts, and ML integration improves accuracy by 20-25%, although limitations exist due to computational complexity and data uncertainty. In conclusion, the role of these models in shaping economic policy is emphasized, with recommendations provided for deepening ML integration, expanding the utilization of big data, and addressing the aforementioned constraints.

This article analyzes the experience of developed countries (USA, Germany, Japan, Estonia, South Korea) in managing small business statistics and using information databases. The article demonstrates the importance of statistical indicator systems, digital platforms, real-time monitoring, and artificial intelligence technologies used in foreign countries. Through comparative analysis, the current state of Uzbekistan’s statistical information databases (Stat.uz, my.gov.uz, soliq.uz, ERI, SPINIDA) has been assessed and ways to improve them have been identified. As a result of the research, recommendations have been developed for creating a unified electronic statistical system, integrating platforms, and implementing AI and Big Data technologies. The research results can be used to improve small business support policies and develop the national digital economy in Uzbekistan

This article analyzes the theoretical foundations for improving corporate governance efficiency in the context of digital transformation. Various definitions of corporate governance provided by scholars are compared, highlighting its key dimensions such as financial relations, strategy and control, effective use of resources, sustainable development, and adaptation to the requirements of the digital economy. Furthermore, a Corporate Governance Efficiency Index (CGEI) is proposed as a reliable theoretical and practical tool for determining the degree of companies’ adaptation to the demands of the digital economy

In this article, a multifactor econometric model was developed to forecast the volume of e-commerce services in Uzbekistan and its reliability was assessed based on relevant statistical approaches. The study analyzed the impact of factors through elasticity indicators and determined the degree of their impact on the resulting indicator. Also, the future development prospects of e-commerce were forecasted based on pessimistic, inertial and optimistic scenarios, and the growth trends of the industry were substantiated

The article examines international experience of applying financial technologies (fintech) in lending by commercial banks. Particular attention is paid to the impact of innovative technologies such as artificial intelligence, big data, blockchain and machine learning on the lending process. It discusses how fintech helps to speed up the loan approval process, reduce operational risks and improve customer experience.

In this article, the issues of effective development of the innovative potential of a manufacturing enterprise in the context of the digital economy are analyzed from a scientific-theoretical and practical point of view. The study highlights the influence of digital technologies, human capital, financial and organizational resources on the innovative potential of the enterprise. The level of digitalization of production processes, indicators of innovation activity, and their impact on efficiency were also studied. The article develops recommendations for increasing the efficiency of resource use, improving management and innovation processes through the implementation of digital transformation, automated systems, "Big Data," IoT, and artificial intelligence technologies

This article examines the theoretical and methodological foundations for improving control mechanisms over the targeted use of public budget funds. The study analyzes the role of budget control within the public financial management system, as well as modern approaches and international best practices. Furthermore, key challenges hindering the efficient use of budget resources in Uzbekistan are identified, and scientifically grounded recommendations are proposed to address them. The findings highlight the importance of implementing risk-based approaches, digital technologies, big data analytics, and public oversight mechanisms in strengthening budget control systems. The practical significance of the study lies in enhancing the efficiency of public financial management and reinforcing fiscal discipline

This article scientifically analyzes the role and importance of digital technologies in reducing the scale of the shadow economy. During the study, the possibilities of blockchain, artificial intelligence and "Big Data" technologies in ensuring the transparency of tax administration and financial transactions were considered. Also, based on international experience, scientific approaches to transferring hidden turnover to the legal sector through the development of a digital ecosystem are summarized. At the end of the article, proposals and recommendations are put forward to minimize shadow activity by accelerating digital transformation in the national economy

This article analyzes the role of the digital economy in the development of the modern economy. The digital economy, which has emerged due to the rapid development of information and communication technologies (ICT), has a profound impact on global economic processes. The article examines key components of the digital economy, including e-commerce, Fintech, big data analytics, artificial intelligence and cloud technologies. These technologies significantly contribute to economic growth by increasing productivity, creating new jobs, stimulating innovation and facilitating market access. At the same time, the article also discusses issues related to the development of the digital economy, such as digital inequality, cyber security and data security. The article concludes by proposing ways to achieve sustainable and inclusive economic growth by balancing the positive and negative aspects of the digital economy.

The article is devoted to the study of the impact of tax audit measures on the budget system, analysis of their effectiveness, and development prospects. The article discusses the main goals and objectives of tax audits, and their positive and negative consequences for the budget. Particular attention is paid to the impact of tax audits on increasing tax revenues, improving tax discipline, and combating the shadow economy. The article also discusses problems associated with high administrative costs, possible negative impacts on the business climate, and risks arising from ineffective inspections. Current trends in the field of tax control are analyzed, including process automation and the use of big data analytics technologies. In conclusion, key areas for improving the tax audit system are highlighted, such as digitalization, improving the qualifications of tax inspectors, and creating a more transparent system of interaction with taxpayers. The article provides recommendations for optimizing tax audits in order to increase their efficiency and the sustainability of the budget system.

The article examines the features of the development of global trade in the context of rapid digital changes and institutional transformations. The key factors and mechanisms that determine the digitalization of trade processes, as well as institutional barriers that impede countries' equal access to digital opportunities are studied. Particular attention is paid to the problem of digital inequality, which limits the integration of individual states into international trade networks and reduces their competitiveness. Such digitalization drivers as the development of digital infrastructure, the use of artificial intelligence, blockchain technology and big data processing are analyzed. The risks of the digital divide and its implications for the sustainability of global trading systems are revealed. Strategic directions for the formation of an inclusive and secure digital trading environment are proposed.

The article analyzes the significance of financial technologies, particularly Insur Tech, and their role in enhancing insurance services. Automation of processes, personalized offers, blockchain, and artificial intelligence contribute to improving the efficiency of insurance companies.