期刊文献+

电力员工标签体系构建及应用场景

Construction and Application Scenarios of Electric Power Employee Label System
下载PDF
导出
摘要 人才是企业发展的核心资源,深挖员工数据价值、赋能业务升级已成为企业可持续发展的关键。电网企业存在员工规模庞大、电力客户诉求多样的特点,需深度探索员工标签建设和应用,打造多元化人才梯队,以促进电网企业提质增效。以营销业务需求为导向,结合营销业务应用场景,规划设计覆盖全网员工的标签应用,支撑员工价值释放,助力公司营销业务数字化运营、智慧化服务、精益化管理。 Talents are the core resources for the development of enterprises.Digging deep into the value of employee data and empowering business upgrading has become the key to sustainable development of enterprises.Power grid enterprises have the characteristics of a large scale of employees and diverse demands from power customers,will deeply explore the construction and application of employee labels,create a diversified talent pool,and promote the improvement of quality and efficiency of power grid enterprises.Guided by marketing business needs and combined with marketing business application scenarios,plan and design label applications that cover all employees on the network,support the release of employee value,and assist the company in digital operation,intelligent services,and lean management of marketing business.
作者 徐超 陈继宁 张丽梅 李权彦 XU Chao;CHEN Jining;ZHANG Limei;LI Quanyan(Power Marketing Service Center,State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing,Jiangsu 210019,China;State Grid Suqian Power Supply Company,Suqian,Jiangsu 223800,China;Beijing SGITG Accenture Information Technology Center Co.,Ltd.,Beijing 100052,China)
出处 《自动化应用》 2024年第2期27-29,共3页 Automation Application
关键词 大数据 标签体系 营销业务 big data label system marketing business
  • 相关文献

参考文献7

二级参考文献76

  • 1刘正伟,文中领,张海涛.云计算和云数据管理技术[J].计算机研究与发展,2012,49(S1):26-31. 被引量:170
  • 2康重庆,夏清,张伯明.电力系统负荷预测研究综述与发展方向的探讨[J].电力系统自动化,2004,28(17):1-11. 被引量:502
  • 3吴军基,杨伟,葛成,赵彤.基于GSA的肘形判据用于电力系统不良数据辨识[J].中国电机工程学报,2006,26(22):23-28. 被引量:26
  • 4卢志刚,张宗伟.基于量测量替换与标准化残差检测的不良数据辨识[J].电力系统自动化,2007,31(13):52-56. 被引量:23
  • 5Hu H,Wen Y,Chua T,et al.Toward scalable systems for big data analytics: a technology tutorial[J].IEEE Access,2014,2:652-687.
  • 6McKinsey Global Institute.Big data:the next frontier for innovation,competition,and productivity[J].2011.
  • 7Jeffrey Taft,Paul De Martini,Leonardo von Prellwitz.Utility data management & intelligence [R].CISCO,2012.
  • 8Doug Dorr.Data analytics and applications newsletter (DMD and TMD demonstrations)[EB/OL].California:Electric Power Research Institute.2014[2015-02-11].http://smartgrid.epri.com/.
  • 9Bettina Boxall.UCLA interactive map shows Los Angeles electricity use[EB/OL].Los Angeles,Los Angeles Times.2013[2015-03-17].http://articles.latimes. com/2013/mar/29/science/la-sci-sn-ucla-electricity-los-angeles-20130329.
  • 10Martin LaMonica.Los Angeles maps electricity use at the block level[EB/OL].Boston,MIT Technology Review.2013[2015-01-14].http://www.technologyreview.com/view/512991/los-angeles-maps-electricity-use-at-the-block-level/.

共引文献352

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