摘要
随着信息化水平的提高,企业积累了海量的信息。但是,由于管理模式和数据应用水平的限制,数据并没有完全发挥其价值。本文通过分析IT数据架构发展现状以及企业对IT数据架构的规划,对企业数据化运营现状进行分析。并根据数据资产管理,从企业容易忽视的五大管理职能:数据治理、数据仓库和商务智能管理、元数据管理、数据开发、参考数据和主数据管理进行分析,对企业数据化运营方法做出的补充。
With the improvement of information technology, enterprises have accumulated a lot of information. However, due to the level of management and data application constraints, the data did not fully play its value. This paper analyzes the status quo of enterprise data management by analyzing the development of IT data architecture and the planning of enterprise IT data architecture. Then from the view of data asset management we analyze data warehouse, business intelligence management, metadata management, data development, reference data and master data management which are the five main easily ignored management functions. The method is supplement for enterprise data-based operations.
出处
《软件》
2016年第9期126-129,共4页
Software
关键词
IT规划
数据资产管理
数据化运营
IT planning
Data asset management
Data-based operations