摘要
针对传统看板灵活性差、业务分析能力弱等问题,结合当前的大数据技术、机器学习算法等,构建了面向过程的敏锐决策动态分析看板。对此,结合大数据的相关技术,将该看板平台分为数据采集层、数据存储与计算层、敏锐决策分析层、数据看板等,并将看板的功能划分为分析可视化、智能分析和数据配置等模块。在智能分析模块,引入集成算法,包括拟合预测模型、聚类模型、分类模型等,并借助自然语言处理等技术,实现对文本的处理和分类。最后,实现管理人员和业务人员对敏锐决策动态分析看板的全面应用,验证了上述方案在现代电力营销中的效果。
In view of the poor flexibility of traditional Kanban and weak business analysis ability,combined with the current big data technology and machine learning algorithm,a process-oriented keen decision dynamic analysis Kanban is constructed.In this regard,combined with the relevant technology of big data,the Kanban platform is divided into data acquisition layer,data storage and calculation layer,keen decision analysis layer,data Kanban,etc,and the function of Kanban is divided into analysis visualization,intelligent analysis and data configuration and other modules.In the intelligent analysis module,integrated algorithms are introduced,including fitting prediction models,clustering models,classification models,etc,and techniques such as natural language processing are used to process and classify texts.Finally,the comprehensive application of managers and business personnel to the keen decision-making dynamic analysis Kanban is realized,and the effect of the above scheme in modern power marketing is verified.
作者
王峰
冯桂玲
上官霞
吴骏
蔡荣彦
WANG Feng;FENG Guiling;SHANGGUAN Xia;WU Jun;CAI Rongyan(State Grid Fujian Electric Power Co.Ltd.,Fuzhou,Fujian 350001,China)
出处
《微型电脑应用》
2020年第7期58-60,共3页
Microcomputer Applications
关键词
敏锐决策
机器算法
拟合预测
看板
keen decision making
machine algorithm
fitting prediction
Kanban
