In recent years,under the guidance of the Ministry of Finance,the State-owned Assets Supervision and Administration Commission and other departments,the financial shared service center has been continuously deepened in the construction and application of various enterprises.In order to actively explore the transformation of the financial department to a decision-making and value creation type,the financial business is constantly evolving,and at the same time,combined with a new generation of intelligent technology,in the case of continuous changes in the technological external environment,the functional requirements of the enterprise for the intelligent financial shared service center are also Constantly changing.Faced with numerous functional requirements,companies are limited to objective conditions and can only prioritize some functional requirements based on the principle of importance.Therefore,the evaluation of functional requirements and selective optimization of implementation have become important issues.In view of this,this article takes ZJ Group as an example,takes the functional requirements of its intelligent financial sharing center as the research object,and constructs a dynamic evolutionary method for evaluating the functional requirements of the intelligent financial sharing service center.Objectively considering the external technical environment and internal business dynamic factors of the financial shared service center that change in each functional configuration stage,design the existing functional requirement evaluation indicators of ZJ Group and construct a dynamic evaluation method to realize the functional requirement evaluation of the financial shared service center under dynamic evolution.First,it explores the evolution mechanism of the functional requirements of the intelligent financial shared service center.The motives of the evolution of functional requirements are explored from two aspects of technology and business,and on this basis,the key elements of the evolution of functional requirements such as the source of functional requirements,the flow of functional requirements,the event of functional requirements,the carrier of functional requirements,and the chain of evolution of functional requirements are analyzed.Then,it analyzes the evolution chain of functional requirements based on the two perspectives of environmental analysis and operation process.Secondly,a dynamic evaluation model of functional requirements is established.A dynamic evaluation model of functional requirements including a monitoring model of technological business evolution,a monitoring model of functional requirements,and a dynamic evaluation model of functional requirements is constructed.Among them,the technology business evolution monitoring model is based on Markov chain theory,which monitors the probability of functional requirements evolution and finds out the key functional requirements sources;the functional requirements monitoring model evaluates the degree of functional requirements,and evaluates both the technical environment and the business environment.At the level,a dynamic evaluation index system for functional requirements has been established;the dynamic evaluation model of functional requirements is based on rough set theory and decision tree theory,which explores dynamic evaluation rules for functional requirements based on the results of functional requirements monitoring,and provides auxiliary decision-making information for functional optimization.Finally,taking the ZJ Group enterprise as an example,the dynamic evaluation method based on the established dynamic evaluation method for selecting 10 more representative functional requirements is carried out,which solves the current problem of ineffective management of the functional requirements of the ZJ Group.At the same time,it provides a reference for the functional demand evaluation method of the intelligent financial shared service center of domestic similar enterprises,enriches related theoretical research,and improves the realization path of the functional demand optimization of the financial sharing model. |