Discussion on the Construction and Application of Performance Appraisal in Human Resource Management under the Background of Big Data

With the arrival of the big data wave, data has become an important information asset. With information about data, we have the opportunity to gain insight into market conditions and strengthen management. Using big data technology to count, analyze and extract massive information can make information resources play an important role in the accuracy of enterprise strategy and decision-making. In this context, the application of big data technology to the evaluation of enterprise human resource management performance is an important problem faced by enterprises today. Therefore, based on the big data background, it is very important to build the performance appraisal of human resource management. Based on big data technology, this paper designs a performance appraisal framework of human resource management. Firstly, it discusses the traditional methods of human resource management and performance appraisal. On the basis of the original theory, it creatively uses the data mining technology in big data technology to construct the framework of performance appraisal, and then designs the specific content of performance appraisal. Finally, through analysis and discussion, the following suggestions for the application optimization of performance appraisal are obtained. According to the ability and quality indicators of enterprise employees, appropriate posts are allocated to promote the best match between posts and people, so as to achieve the strategic objectives of the enterprise and improve the level and efficiency of the organization.