精细化:大数据时代管理模式的变革  

Delicacy: Transformation of Management Model in The Age of Big Data

作　　者：曲婧[1,2] 

机构地区：[1]吉林大学马克思主义学院,吉林长春130012 [2]吉林财经大学马克思主义学院,吉林长春130117

出　　处：《税务与经济》2014年第5期46-49,共4页Taxation and Economy

摘　　要：大数据时代的到来推动着人类生活、工作和思维方式发生重大变革。大数据时代以数据的深度挖掘为特点,促使管理模式走向精细化。尽管大数据时代的数据挖掘技术为现代管理带来了福音,但同时也给管理精细化带来了诸如数据安全、数据整合、创新型人才缺乏等种种挑战。迎接大数据时代的变革,促进管理模式走向精细化,需要注重三个方面的结合:数据挖掘技术的需要与我国现实情况相结合;数据深度挖掘的"实时性"与未来的"预测性"相结合;数据深度挖掘技术的开发与相关的法律保障相结合。People＇s lives, work and ways of thinking are undergoing a significant transformation with the arrival of the age of big data. Because of the characteristic of deeply data mining in the age of big data, the management model will be more delicate. Although the data mining technology brings benefits to the modem management, it still poses challenges to management delicacy such as data security, data integration, innovative talents, etc.. In order to promote management delicacy in the age of big data, the emphasis should be attached to three aspects： the combination of the demand of data mining technology and the real situation of China; the combination of the real time of deeply data mining and the predictability of future ; the combination of the development of data mining technology and related legal protection.

关 键 词：大数据时代 数据挖掘技术 管理模式 精细化管理 

分 类 号：F062.5[经济管理—政治经济学]