Financial information processing technologies: modern approaches and an overview of innovative solutions

Abstract

The article examines a number of systems used in various sectors of the economy to manage financial data, optimize operations, and improve decision-making processes. The purpose of the article is to analyze and evaluate technologies used to optimize financial operations and improve decision-making processes in organizations. The study examines such innovative solutions as ERP systems, blockchain, data analytics, and artificial intelligence in order to determine their role in the digital transformation of business processes. To achieve the goal, methods of analysis, synthesis and systematization of scientific sources, as well as comparative analysis of modern financial technologies used in the Ukrainian market, were used. The results of the study show that technologies such as ERP systems, blockchain and AI are actively used to increase the efficiency of financial information processing. The article assesses their distribution, impact on the automation of business processes and adaptability to changing market conditions. The initial data for the work were existing systems on various platforms in the form of modern financial solutions and programs. A comparison of the functional capabilities of these programs was carried out based on the synthesis of research results in the field of financial information processing technologies. Existing platforms and software products that contribute to obtaining financial decisions are considered, with an emphasis on trends and opportunities arising from digitalization.

The conclusions emphasize the importance of implementing modern financial information processing technologies to optimize financial processes in order to increase the efficiency of enterprises. It is recommended that companies actively implement these innovations to ensure sustainable development in the context of digital transformation. Prospects for further research are focused on the expanded implementation of ERP systems and automation, taking into account the experience of successfully implemented projects.