Research on the Optimization of Enterprise Finance Sharing Center Functions Based on Data Mining

In order to optimize the function of enterprise financial sharing center and improve the efficiency of resource allocation and decision support ability, based on data mining technology, a mathematical model is constructed and various algorithms are applied for analysis. Experiments show that the prediction error of ARIMA model is 3.2%, K-means algorithm improves resource utilization by more than 16%, and the accuracy of financial decision-making is improved by 9%. The optimized financial processing efficiency increased by 21% and the cost saving rate increased by 39.3%. Through the application of data mining, the resource allocation and management efficiency of the financial sharing center is significantly improved, which helps the financial management to develop in the direction of high efficiency and intelligence.