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Analysis of Enterprise Employee Performance and Corporate Benefit Correlation Based on Big Data Analysis

  • He MaEmail author
  • Hui Wang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1117)

Abstract

With the development of the economy, enterprises have experienced explosive growth, and the business management data generated by enterprises is also massive. How to extract valuable information from massive data to help companies achieve better development prospects has become one of the hot issues of concern. Based on this, this paper proposes a big data analysis method from the perspective of enterprise employee performance, and explores the correlation between enterprise employee performance and company benefit. By preprocessing the financial data of several companies and performing feature analysis, the association rule apriori mining algorithm is used to analyze the correlation between employee performance and company benefit. The results show that corporate benefits are positively correlated with corporate employee performance. The higher the performance level of the employees, the better the company’s economic benefits.

Keywords

Performance management Big data Corporate benefit 

Notes

Acknowledgements

This work was supported by Science and Technology Innovation Think Tank Project of Liaoning Science and Technology Association (project number: LNKX2018-2019C37), and Project of Dalian Academy of Social Sciences (project number: 2018dlskyb223).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Human Resource ManagementDalian Neusoft University of InformationDalianChina

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