Design of an Enterprise Financial Risk Management System Based on Big Data Mining

To enhance the real-time management and control capabilities of enterprises for relevant financial risk behaviors to greatly improve the economic profitability of the enterprises themselves, a corporate financial risk management system based on big data mining is designed. Use the Hadoop architecture to provide the ZooKeeper management structure and the connection elements required by the Mesos host to complete the hardware execution environment of the risk management system based on big data mining. On this basis, we define organizational system design principles, management program design principles, and guarantee system design principles, complete the construction of the software execution environment of the management system, and combine the structure of related hardware equipment to achieve a smooth enterprise financial risk management system based on big data mining applications. The comparative experimental results show that, compared with the ERM framework management system, the big data mining management system can effectively control the financial risky behavior of the enterprise, and it has a stronger effect on improving the economic profitability of the enterprise itself.