Application of Intelligent Algorithms in Data Analysis of Financial Sharing System

Abstract

Financial systems have always been the lifeblood of an enterprise, and they are especially important for group companies. At present, many enterprises are embarking on an optimized financial sharing system in financial management. The shared system for financial management is a product of the big data era, which will make financial management easier, faster and more efficient, and is crucial to the development of enterprises. However, the stability of the financial sharing system, the repair of loopholes, its adaptability to the enterprise, and its integration with the technology of the times have been the primary issues that need to be addressed. This paper applies intelligent algorithms to the data analysis of the financial sharing system. Through the analysis of actual financial data of several enterprises, it is concluded that the optimized reporting method is at least 2.3 times faster than the traditional one, and the speed improvement will be more obvious for companies with larger and more complex data volume. It can be seen that the optimized reporting method is at least 2.3 times faster than the traditional one, and the speed improvement will be more obvious for companies with larger and more complex data volume. With 42% of financial expenses, it can be seen that the financial sharing system under the intelligent algorithm is effective in controlling the cost of financial expenses. All in all, the application of intelligent algorithms in the data analysis of the financial sharing system has made a great contribution to the company.