AUTOMATION OF ACCOUNTING AND CONTROL: APPLICATION OF SYSTEM ANALYSIS TO IMPROVE ACCURACY AND RELIABILITY

Zueva Anna Nikolaevna

Introduction: In modern conditions of a dynamically developing economy and growing competition in the market, effective enterprise management is impossible without the use of automated accounting and control systems. However, despite the widespread use of such systems, their accuracy and reliability often leave much to be desired. This article discusses the application of system analysis methods to improve the accuracy and reliability of accounting and control automation. Materials and methods: The study is based on an integrated approach that includes a theoretical analysis of existing methods and algorithms for forecasting and evaluating the effectiveness, quality and reliability of complex management systems, as well as an empirical study of practical experience in implementing automated accounting and control systems at enterprises in various sectors of the economy. The main research methods used are system analysis, mathematical modeling, statistical data analysis, expert assessments, etc. Results: During the study, the main factors affecting the accuracy and reliability of automated accounting and control systems were identified, including: the quality of the source data (input errors, incompleteness and inconsistency of information), failures and errors in the operation of software and hardware, insufficient qualifications of personnel, etc. Based on the system analysis, recommendations have been developed to improve the accuracy and reliability of accounting and control automation, including: the introduction of data verification and validation mechanisms, the use of redundancy and duplication of critical system components, the development and implementation of effective personnel training and advanced training systems, the use of mathematical modeling and forecasting methods to assess the effectiveness and reliability of the system and others . The approbation of the proposed recommendations on the example of real enterprises showed an increase in the accuracy of accounting and control by 10-15%, as well as a decrease in the number of failures and errors in the system by 20-25%.

Keywords:automation of accounting and control, system analysis, accuracy, reliability, efficiency, forecasting methods, complex management systems.