摘要
在大数据时代,由于大数据自身具有的数据量大、数据类型多、数据处理速度快和真实性的特点,会对以渐进决策为主的公共决策产生深远的影响。大数据使得获取充分的信息成为可能,大数据的关联性分析提高了决策的针对性,数据的动态分析为公共决策的渐进改进提供了帮助,大数据分析的速度提高了决策的及时性,更为重要的是大数据的预测能力可以帮助提高决策的科学化水平。大数据预测也可能会出现预测失误和个人隐私的泄漏等问题,需要决策者正确对待大数据的预测能力,政府需要加强数据共享和数据管制,重视大数据人才的培养。
In the era of big data,big data exerts a profound impact on public decision making,mainly gradual decisions,due to its characteristics of volume, variety, velocity and veracity. Big data makes it possible to access sufficient information,the relevance analysis of big data improves the pertinence of decision making,the dynamic analysis of big data contributes to the gradual improvement of decision making,and the analysis velocity of big data brings about timely decision making.Most importantly,the prediction ability of big data will improve the scientificity of decision making.However,big data prediction may make errors and leak privacies,so decision makers should treat obj ectively the prediction ability of big data and the government should strengthen data sharing and control and attach greater importance to the training of big data analysts.
出处
《东北大学学报(社会科学版)》
CSSCI
北大核心
2016年第3期281-287,共7页
Journal of Northeastern University(Social Science)
基金
国家社会科学基金重大资助项目(10zd&041)
关键词
大数据
预测
公共决策
镜像化社会
决策科学化
big data
prediction
public decision making
mirroring society
scientific decision making