基于大数据挖掘与运营的企业数据资产管理平台研究与实践

Research and Practice of Enterprise Data Asset Management Platform based on Big Data Mining and Operation

大数据时代,数据资产已成为企业的核心资产,也将成为企业的核心竞争力。对于企业来说,坐拥大量的有价值数据,但缺乏有效的管理机制和方法,会导致系统烟囱化、数据碎片化、数据管理标准不统一、数据价值密度低等问题,在数据的内外部运营变现方面能力不足。本研究借鉴了传统经典管理理论如集约化管理理论以及IT服务化管理理论,又融合了当前互联网云计算行业的经典方法论,建立了一套符合四川省现状的数据资产管理标准,即以集中、标准、开放的大数据资产管理新模式,同时借助云计算技术,建立了数据资产管理平台。

In the era of large data,data assets have become the core assets of enterprises.It will also be the core competitiveness of enterprises.As a business operation and development of enterprises,there are a lot of valuable data,but the lack of effective management mechanism and methods will lead to system chimney,data fragmentation,data management standard is not uniform,low data density and other issues,and insufficient ability to perform internal and external operations of data.This study draws on the traditional classical management theory,such as intensive management and IT service management theory,and the integration of the classic methodology of the current Internet cloud computing industry,builds a set of data management standards in line with the status quo of Sichuan Province,that is a new model of big data asset management is focused,standard and open,and the data asset management platform is established with the help of cloud computing technology.