DEVELOPMENT OF FINANCIAL DATA AGGREGATION METHODOLOGY

Sapogov Alexander Alexandrovich

Financial indicators are an important source of information for assessing a company's financial condition, making investment decisions and understanding market trends. Aggregating such indicators is becoming increasingly important and at the same time challenging as the volume of information increases and more precise analysis is required. This article examines innovative methods for aggregating financial data presented in modern scientific literature. There has been a surge of interest in methods that can be used not only to analyze the financial condition of one selected corporate structure, but also to analyze entire industries, sub-sectors, as well as to assess the financial condition of companies in regions, territories and states. In addition, it is concluded that the main approach for aggregating financial information is neural networks.

Keywords:financial analysis, financial data, aggregation, aggregate, data analysis, neural network