Financial Data Analysis and Algorithm Optimization of Financial Management Based on Cloud Computing
Yuanhua Zhang, Haiquan Song · 2024
The popularity of cloud computing technology has profoundly changed the multi-industry landscape, thanks to the leap in Internet technology. Aiming at the capacity planning challenges faced in service delivery in the financial industry, especially the problem of unstable service demand due to server capacity bottlenecks, this study innovatively combines cloud computing with improved decision tree (DT) algorithms for in-depth analyses of massive data on corporate financial management. It is found that the DT algorithm is significantly more efficient than other methods, 4.37% and 1.8% higher, and performs optimally in the effect metrics of accuracy, recall, and F1 value, reaching 95.67%, 94.23%, and 95.22%, respectively. This research result provides strong support for the financial industry to effectively deal with capacity planning problems and improve service stability and enterprise competitiveness.