Study On Optimization Of Expense Reimbursement Management Of H Institute Based On Risk Orientation

In recent years,smart finance has faced three key propositions: "a revolution in tools that perceive change,reengineering to grasp change,and resetting the role that leads change." The current enterprise is in the era of intelligence.The explosion of information has forced companies to effectively manage their own data.Therefore,how to integrate enterprise data into the smart financial system has become the focus of corporate financial intelligent transformation and upgrading.At present,information technology can be specifically applied to financial modules such as expense reimbursement,report generation,and tax management.Expense reimbursement is the most typical process in financial processing.It has the characteristics of high frequency of occurrence,small amount of single reimbursement,large number of invoices,labor intensive,and unstable personnel involved.H Research Institute is a service-oriented enterprise engaged in garden landscape design.The expense reimbursement mainly involves office expenses,travel expenses,drafting costs,software purchase costs,etc.With the continuous expansion of corporate economic business,the traditional business management model can no longer meet the needs of information technology.Understand the research and development of the expense reimbursement management system of H Research Institute through field research,and sort out the reimbursement process,and analyze the current expense reimbursement management of H Research Institute.There are many reimbursement document filling errors,long reimbursement approval time,large workload of reimbursement approval,and lack of reimbursement Many problems such as data management procedures,based on this,put forward that the requirements of the H Research Institute's expense reimbursement management optimization are process automation requirements and credit evaluation requirements,respectively.Based on reading a lot of literature and drawing on risk management ideas,starting from risk identification and risk control,a risk-oriented H Research Institute expense reimbursement management optimization framework was established.Based on the above,the CART decision tree algorithm in machine learning is used to build an index model,evaluate the credit situation of employees in the expense reimbursement business,and form a credit rating table for the staff expense reimbursement business of the H Research Institute,laying a foundation for improving the efficiency of enterprise expense reimbursement;The employee expense reimbursement credit rating table incorporates robotic process automation technology to optimize the expense reimbursement approval and payment process.A case study is used to simulate the implementation of the H Research Institute and make recommendations and safeguard measures.The thesis research shows that the company should communicate and train all employees on how to use the online office system in a timely manner,and it is necessary to improve the cumbersome approval process and efficiency of reimbursement in the company's expense reimbursement by introducing robotic process automation technology and big data technology.Low problem.With the arrival of a new era,in the context of big data and intelligence,more and more enterprises have introduced intelligent technology to help themselves improve their operations.The risk-oriented perspective of this article also provides a new perspective for the expense reimbursement management of small and medium-sized enterprises,strengthens the management function of accounting,and at the same time helps companies get rid of the traditional reimbursement model,so that the data precipitated in the accounting link can create value for enterprises It also promotes the application of big data and artificial intelligence technologies in the financial field.