信息资源管理学报 ›› 2019, Vol. 9 ›› Issue (3): 111-118.doi: 10.13365/j.jirm.2019.03.111

• 研究论文 • 上一篇    下一篇

基于招聘信息的商务智能人才需求分析与启示

胡忠义 李雅 吴江 张毅铖 赵杨   

  1. 武汉大学信息管理学院,武汉,430072; 武汉大学电子商务研究与发展中心,武汉,430072
  • 收稿日期:2018-06-08 出版日期:2019-07-26 发布日期:2019-09-08
  • 通讯作者: 胡忠义,副教授,博士,研究方向为数据挖掘、互联网金融等,Email:Zhongyi.Hu@whu.edu.cn。
  • 作者简介:胡忠义,副教授,博士,研究方向为数据挖掘、互联网金融等,Email:Zhongyi.Hu@whu.edu.cn;李雅,本科生,研究方向为商务智能;吴江,教授,博士,研究方向为数据挖掘、社会网络分析等;张毅铖,本科生,研究方向为商务智能;赵杨,副教授,博士,研究方向为商务智能与定量分析、移动信息服务。
  • 基金资助:
    本文系国家自然科学基金项目“创新2.0超网络中知识流动和群集交互的协同研究”(71373194)和湖北省高校教学改革项目“‘互联网+’背景下电子商务专业实践教学体系改革研究”(2016037)研究成果之一。

Analysis of Recruitment Information on Business Intelligence Professionals: Recruitment Requirement and Enlightenment

Hu Zhongyi Li Ya Wu Jiang Zhang Yicheng Zhao Yang   

  1. School of Information Management, Wuhan University, Wuhan 430072, China; The Center for Electronic Commerce Research and Development, Wuhan University, Wuhan 430072, China
  • Received:2018-06-08 Online:2019-07-26 Published:2019-09-08

摘要: 以拉勾网上收集的1722条商务智能招聘信息为数据来源,通过分词和词频统计,运用内容分析的方法分析了商务智能岗位的行业分布、工作地点、薪资待遇、工作经验与学历等基本情况与岗位需求;并从专业技能、软件技能、员工素质等方面分析了企业对商务智能专业人才的要求。本研究基于招聘信息,呈现了大数据环境下企业对商务智能专业人才的需求情况,并以此为参考,设计了大数据环境下商务智能人才培养的技术体系,弥补了高校仅开设个别数据类课程、忽视业界人才需求与系统性人才培养的不足,对高校培养综合性的、符合时代背景和业界需求的商务智能专业人才具有重要启示。

关键词: 商务智能, 招聘信息, 大数据, 人才培养, 技能需求

Abstract: This paper collected 1722 pieces of recruitment information on business intelligence from Lagou.com. Based on word segmentation and word frequency statistics, the content analysis method is used to analyze the basics of recruitment, such as industry distribution, job location, salary treatment, work experience and educational background. It also analyzes the requirements of recruitment about professional skills, software skills, and staff quality. Based on the recruitment information, this research presents the enterprise's demand for business intelligence professionals in the big data era, and designs a business intelligence professional training system from the perspectives of techniques. This research makes up the fact that universities only offer relatively few data-related courses but ignoring the demand of professionals in the industry and the systematic cultivation of professionals. The results have important implications for universities to cultivate comprehensive education of business intelligence professionals who meet the needs of industry in the big data era.

Key words: Business intelligence, Recruitment information, Big data, Professionals training, Skills demand

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