以调控大数据为基础的数据精细化管理

Fine Data Management Based on Big Data Regulation

21世纪是信息化时代,大数据技术的广泛应用使得人们的生产生活和思维方式产生了很大的变化。在这一时代发展背景下形成的数据集对于强化管理和未来发展具有重要的实践价值,能够促进管理精细化和多元化。本文从调控大数据为基础的思维模式入手,对大数据调控和精细化管理的基础理念和应用现状进行了综合分析,并在数据精细化管理的发展中从数据挖掘、理念创新、数据调控以及综合管理四个方面给出了精细化管理的发展方向,旨在以此不断发展和提升数据的管理水平。

The 21st century is the era of information technology.The wide application of big data technology has brought about great changes in people's production,life and thinking mode.The data set formed under the development background of this era has important practical value for strengthening management and future development,and can promote the refinement and diversification of management.In this paper,starting from the thought mode based on the regulation of big data,the basic concepts and application status of big data regulation and refinement management are comprehensively analyzed.In the development of data refinement management,the development direction of refinement management is given from four aspects of data mining,idea innovation,data regulation and comprehensive management,aiming to continuously develop and improve the data management management level.