Research On Operation Management Optimization Of Financial Sharing Center Based On Big Data Intelligence

With the advent of the era of big data intelligence,the process of intelligent construction of enterprise financial sharing centers has been accelerated,and the operation and management mode of enterprise financial sharing centers has been continuously changed from traditional to intelligent and automated management modes.As a new organizational model for corporate financial accounting and management,the Financial Sharing Center not only improves the efficiency of corporate financial accounting,reduces costs,but also provides a large amount of financial data and business data for enterprises,which provides convenience for decision support.Therefore,the financial sharing center has also received attention and use by more and more large group companies.However,in the process of operation and management of the financial sharing center,enterprises will always encounter many problems that traditional operation management methods cannot solve.The optimization of the operation and management of the financial sharing center has also become the focus of everyone’s attention.Therefore,in the environment of big data intelligence,how to optimize the operation and management of financial sharing center by using big data,machine learning and other technologies is an urgent problem to be solved.This paper takes the financial sharing center of Z construction enterprise as the research object.Firstly,it expounds the theory of financial sharing,its operation management,big data intelligence and the research status at home and abroad,and provides strong theoretical support for the subsequent optimization.Secondly,through the actual research,interviews and collecting relevant data,the status quo and problem analysis of Z enterprise financial sharing center operation management are described.In the process of describing the status quo,it is found that the problem that can be optimized based on the big data intelligent perspective includes performance management,risk management and process management modules.Then the solution to the above problems is designed.The performance evaluation optimization based on Kmeans algorithm and the violation prediction model based on C4.5 decision tree algorithm is constructed.The RPA-based tax management process optimization is summarized and the model is given.Examples.Finally,the research conclusions and future prospects are given.Through the introduction of the Z enterprise financial sharing center operation management optimization case study,the problems in the operation management of Z enterprise financial sharing center were discovered and analyzed,and the financial sharing center operation management optimization model based on big data intelligence was constructed,which enriched the financial sharing center.Method and technical system for operational management optimization.It helps to intelligentize and automate the operation and management of the financial sharing center,effectively reducing the cost of operation and management of the financial sharing center and improving the quality of operation management.