Challenges and prospects of human resource management under the background of big data

Abstract

With the development of information technology and Internet computing, big data has led individuals and enterprises to step into the era of automation in many ways. Big data technology usually starts with the classification and large-scale uptake of resource information, and then integrates, stores and utilizes the information displayed in the data after certain screening processing. The value of data sets is diverse, so it often requires more scientific and systematic classification analysis and computational processing design than traditional classification to make the resource set play an ideal role. Big data has many characteristics, the core of which is extensive information sources, rich classification, high gold content, fast and efficient analysis and processing process, and can simultaneously take into account a wide range of coverage and fine direction. No matter in the enterprise or the market, it is generally believed that human resources are the primary resources to help economic progress. Human resource management includes a large amount of personal information of enterprises and employees. On this basis, big data can also help enterprises to better develop human resource modules by virtue of its excellent information collection and processing ability. In order to transfer from the traditional human resources management and control means to a more efficient way, it is necessary to achieve reasonable evaluation while taking into account the breadth and depth of information sources, introduce and further cultivate high-end employees through screening mechanism, and down-to-earth analysis of all aspects of the integration of big data and human resources management. This paper analyzes the existing problems, application advantages, challenges and innovations of the connection between human resource management and big data, and summarizes the various foundations that human resource management should have under the background of big data technology.