Research On The Human Resource Management Of Hebei Keyuan Company In The Era Of Big Data

The era of big data has come quietly.This is a revolution that decides the fate of enterprises and the future.Any enterprises that are not ready for this revolution will be eliminated by the times.It seems that small and medium-sized enterprises do not match the high-tech vocabulary such as "big data",but the fact is the opposite.Because of the small scale of development,the lack of technological capability and the weak financial strength,small and medium-sized enterprises are less capable of resisting market risks and changing industries than large ones.Therefore,they must remain highly sensitive to technological innovation and changes in the times,consciously embrace changes in the times and take the initiative to cope with them.The economy,as a big data,can help itself develop and innovate its management mode.Based on the background of big data,in Hebei,the original company of small and medium-sized enterprises as the research object,based on analysis of a large number of domestic and foreign advanced human resource management theory,human resource management of Hebei branch company to carry on the analysis,discovered the existence of existing human resources management of enterprises of the problem,and at the end of the paper the optimization and construction measures,and strive to improve the company's human resources management policy under the background of new era,so as to effectively improve the competitiveness of enterprises,realize the sustainable development of enterprises.In the era of big data,Hebei Keyuan company should take appropriate measures to optimize the construction of human resources management.In the field of employee recruitment,we should transform and update our concepts,foster awareness of big data,improve data analysis capabilities step by step,use data platform to improve recruitment methods,and organize and arrange interviews reasonably.In the field of training and development management: focus on the advantages of resources,improve the quality of training and training mode of the integrated use of a variety of benefits;keep the data analysis theory applied to the talents;in compensation management: build strategy oriented compensation management system;establish a scientific compensation system,ensure pay equity;the application of big data thoughts determine the salary level.In performance management: correcting the cognitive bias of performance management;paying attention to and strengthening performance communication and feedback.