期刊文献+

信息碎片化的模式探讨企业大数据的挖掘

Discussion on the mining of big data of enterprise by information fragmentation mode
下载PDF
导出
摘要 为了挖掘企业的大数据,解决人们工作和生活中由于资讯泛滥而超载负重的困扰,通过对手机为什么使人上瘾的要素分析,建立以员工行为大数据为基础的"凯里云立方"模型,利用目前人们普遍的碎片化的阅览习惯,在微信平台上进行"众创众筹"活动,深度挖掘企业各种数据并实现采集,把碎片化、浅显化甚至是情绪化的信息,引导到创意与思考之中。经过初步运作,员工不仅能够获取知识,刷新认知,而且有效改变了员工对信息浅显化的认知模式,进入到思考与创意状态,重获了对自己的掌控感;企业则在兴趣盎然的活动中,实现对大数据挖掘收集,员工的组织感油然而生,不仅为企业找回了经营发展的源动力和驱动力,而且在企业内部形成了积极向上的网络生态与人文环境。 In order to dig up the big data of enterprises and solve the problem that people are overloaded with information in their work and life,this paper analyzes the factors why mobile phones are addictive,and establishes the " Kelly Cloud Cube" model based on the big data of employee behavior, which makes use of the fragmented reading habits prevalent in people's daily life. The platform carries out " public innovation and crowd funding platform" activities, in-depth mining of enterprise data and acquisition, fragmentation, shallow and even emotional information, to guide creativity- and thinking. After initial operation, employees can not only acquire knowledge and refresh their cognition, but also effectively change their cognitive mode of information superficiality, enter the state of thinking and creativity,and regain their sense of control; enterprises are interested in activities to achieve big data mining collection, and the organization of employees is born, It not only recovers the source and driving force of business development, but also forms a positive network ecology and human environment within the enterprise.
作者 刘丽婕 杨昆桦 王泽芬 蒋友权 LIU Lijie;YANG Kunhua;WANG Zefen;JIANG Youquan(Kaili Power Supply Bureau of Guizhou Power Grid Co.,Ltd.,Kaili 556000 Guizhou,China)
出处 《电力大数据》 2018年第12期76-82,共7页 Power Systems and Big Data
关键词 碎片化 手机模式 平台 大数据挖掘 fragmentation mobile phone mode platform big data mining
  • 相关文献

参考文献17

二级参考文献262

共引文献989

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部