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探析大数据在电力企业人力资源管理中应用
作者姓名:张博
作者单位:贵州电网有限责任公司贵阳供电局
摘    要:大数据时代下信息技术已经渗透到企业管理的各个方面,人力资源管理与大数据的融合,有助于电力企业从人力资源管理特征出发,充分发挥人力资源管理综合效益。本文基于大数据特点和应用价值,从原始数据、能力数据、效率数据和潜力数据等四个方面分析人力资源管理数据观,重点探讨大数据在进行人力资源规划、加强人才选聘与培养、促进薪酬绩效管理及优化组织机构和用工管理等方面的应用,并剖析大数据与企业人力资源管理深度融合应用所需基础条件,包括建立人力资源工作者大数据意识、搭建人力资源大数据信息平台及提升人力资源工作者数据分析和应用能力等。通过大数据平台搜集、挖掘人力资源相关数据,促进人力资源管理各个模块有机融合,将会为企业长远发展提供更加强劲的人力资源保障和人才支撑。

关 键 词:大数据  电力企业  人力资源管理  融合应用
收稿时间:2018/3/15 0:00:00
修稿时间:2018/3/15 0:00:00

Analysis of the application of big data in the human resource management of power supply enterprises
Authors:zhangbo
Affiliation:Guizhou Power Grid co. , LTD. Guiyang Power Supply Bureau
Abstract:In the era of big data, information technology has penetrated into all aspects of enterprise management. The integration of human resources management and big data helps power supply enterprises to proceed from the characteristics of human resource management and give full play to the comprehensive benefits of human resource management. Based on the characteristics and application value of big data, this paper analyzes human resources management data from four aspects: raw data, capability data, efficiency data, and potential data.This paper focuses on the application of big data in human resource planning, strengthening the selection and training of talents, promoting salary performance management, and optimizing organization and employment management. It also analyzes the basic conditions for the deep integration of big data and enterprise human resource management, including the establishment of human resource workers'' big data awareness, the establishment of human resources big data information platform, and the enhancement of human resource worker data analysis and application capabilities. Collecting and excavating human resources related data through the big data platform and promoting the organic integration of various modules of human resource management will provide more powerful human resource protection and talent support for the long-term development of the enterprises.
Keywords:big data  power supply enterprises  human resource management  fusion application
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