Kyryllov O. Analysis of accounting information using Business Intelligence

The dissertation work aims to address the scientific problem of improving the process of formation, processing, and utilization of accounting information through modern Business Intelligence technologies within the framework of digitalizing accounting. The study outlines the general characteristics of the stages of collecting, recording, controlling, processing, and interpreting accounting information. It emphasizes the necessity of digitalizing accounting information as a fundamental stage in the informatization of accounting. Considering the rapid development of Data Science and Big Data, their role in shaping the informational environment of accounting is explored. These concepts offer new opportunities for analyzing large volumes of accounting data, uncovering hidden patterns, optimizing business processes, and supporting real-time decision-making. By processing vast amounts of structured and unstructured data, Data Science and Big Data technologies enable in-depth analysis, identification of hidden correlations, and insights into various indicators of financial and economic activities. In accounting, these technologies enhance the timeliness and quality of information, which is critical for strategic planning and effective enterprise management.