Research On Haier Group Gupply Chain Cost Control Based On Big Date Technology

With the advent of the information age,the Internet has been widely used,electronic products can be seen everywhere,and the way people shop is no longer limited to physical stores.Online self-operated stores provide consumers with great convenience,not only the prices are more favorable.,It also saves a lot of time for most customers living in remote areas and busy office workers shopping;people’s working methods have also undergone great changes,many companies allow employees to work with computers at home;online classrooms also bring students’ learning This is a great convenience,especially during the outbreak of the new crown pneumonia.In order not to affect the learning progress of students,many schools require them to study online at home.They can listen to teachers at home through computers,mobile phones or tablets.The widespread use of the Internet is accompanied by explosive growth in the amount of data.However,large-scale data is not all valuable to enterprises.These data need to be rearranged,mined and analyzed before they can be used.Therefore,big data technology takes advantage of the trend Born.Although big data technology has been applied by many companies so far,it has been more concentrated in the fields of medical care,new media,and marketing.Most companies still use traditional cost control models and simply use the basic theories and formulas of financial management to Cost analysis,the traditional cost accounting method lacks innovation,the degree of information is low,and the efficiency of cost control is low.Therefore,there is still a long way to go to fully promote big data technology.If companies can seize opportunities in the wave of big data and face difficulties,they will surely be able to create their own world in the fierce social competition.This article adopts three research methods,taking Haier Group as an example to analyze in detail the application of big data technology in enterprise supply chain cost control.First of all,the literature analysis method conducts in-depth research on the related theories of supply chain management,big data technology and related methods of big data technology applied to supply chain cost control,and has a deeper grasp of theoretical knowledge.Secondly,the cost control effect of Haier Group was compared horizontally and vertically using comparative analysis.On the one hand,based on the financial data of Haier Group in the past ten years,indicators were selected to compare Haier’s procurement costs,operating costs and customer retention in the past ten years.Cost evaluation and analysis to verify the effectiveness of big data technology for cost control;on the other hand,a horizontal comparative analysis of the financial data of Haier and Midea in the past ten years,to study Haier’s use of big data technology for supply chain cost control in the same industry The measures are relatively more effective.Finally,analyze and summarize the remaining problems of the company,analyze the existing problems from both the internal and external aspects of the supply chain,and propose suggestions for the current internal and external problems of Haier Group,and provide other companies in the same industry with big data applications.Experience,promote the use of big data technology.