Enterprise Financial Information Management System Based on Data Analysis Algorithm

How financial management and accounting can be more closely integrated with all aspects of enterprise production and operation, and how to use modern information management tools to make financial information more accurate, fast and smoothly delivered to the relevant decision-making level and to avoid financial risks, have become new issues that need to be addressed. The purpose of this paper is to study the enterprise financial information management system based on data analysis algorithms. SQL server 2008 and efficient and simple JSP technology were used to implement the design of the functional modules. During the design of this paper, the BP neural network algorithm is analysed to evaluate and analyse the asset management in the financial management process, which effectively realises the intelligence of the financial management system.