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Research On The Optimization Of Financial Sharing Service Center Of S Group Under The Background Big Data

Posted on:2021-05-09Degree:MasterType:Thesis
Country:ChinaCandidate:J Y LiuFull Text:PDF
GTID:2439330602977713Subject:Accounting master
Abstract/Summary:PDF Full Text Request
The Financial Shared Service Centre is a Shared Service Centre for the recording and reporting of accounting transactions by entities from different countries and regions,as it is not necessary to have an accounting presence in all companies and offices,therefore,the standard and structure of the report and the accounting records are the same,and the labor and system cost are saved.In the 21 st century,big data,block chain and other emerging science and information technologies are also developing vigorously.They are more and more closely integrated with the financial sharing service center,and the Financial Shared Service platform has been further upgraded,in the same way,the theory of Financial Shared Service Center is becoming more and more perfect.However,in the actual operation process,there are still many problems in how to use the big data technology to further upgrade and optimize the FSSC has become a problem that many enterprises need to solve urgently.Based on the characteristics of big data era and its requirements for accounting,this paper analyzes the traditional financial sharing service center,and finds that the traditional FSSC can not meet the needs of the Times.Due to the expansion of the scale of enterprises,the amount of financial data has increased sharply.Some modules of the existing performance evaluation system of enterprises adopt the method of subjective scoring by leaders.There are risks in the safety of financial data of enterprises.Firstly,this paper summarizes the research achievements of FSSC in the context of big data by domestic and foreign scholars in recent years,also summarizes the latest research hot spots and research directions in the field of big data and financial sharing.At the same time,the paper shows the background and significance of this research;secondly,through the analysis of S group's financial data,it compares S group's solvency,operating capacity and profitability,positive advantages,find out disadvantages before and after implementing FSSC.Finally,combined with big data technology,the paper puts forward specific optimization suggestions for the FSSC of S group,and gives some reference to the construction of other enterprises financial sharing service center.Through the case study of S Group Financial Sharing Service Center,we find and analyze the needs to improve the S group financial sharing service center,and construct theoptimization model of Financial Shared Service Center under the background of big data.It enriches the methods and technical system of the construction and operation of the Financial Shared Service Center in the background of big data,and helps to improve the efficiency and security of the Financial Sharing Service Center,make the FSSC more scientific operation.At the same time,it also reduces the operating cost of Enterprise Financial Shared Service Center and improves the quality of operation management.
Keywords/Search Tags:Big data, Financial Shared Service Center, K-means Algorithm, RPA, C4.5 Decision Tree
PDF Full Text Request
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