摘要
企业被有效管理的数据只有20%,也就是我们通常所说的结构化数据,这些数据基本都存储在各大应用系统中:如ERP、CRM、财务系统等。另外80%的数据是被忽视的或者说是缺乏有效手段进行管理的,这些数据也就是我们日常接触和产生的最多的数据也称之为非结构化数据:如Office文档、电子邮件、合同,单据等等。企业通常缺乏一个有效的手段对这些数据进行管理。为了应对这些挑战,欧美和国内的成熟企业早在十几年前就引入了大数据管理的理念,这是一种战略、方法和工具来帮助企业获取、管理、存储、保护、呈现与企业组织流程相关的数据内容以及文档。
Enterprises are effectively managed only 20% of the data, That is what we usually call structured data, which are basically stored in major applications system such as ERP, CRM, financial systems, etc. Another 80% of the data is ignored, or the lack of effective means for the management, the data also is our daily contact and produce most of＂ the data is also called unstructured data, such as Office documents, E-mail, contract, documents and so on. Enterprises often lack an effective means to manage these data. In order to address these challenges, mature businesses in Europe, America and domestic have introduced the idea of big data management as early as ten years ago, this is a kind of strategy, methods and tools to help enterprise acquisition, management, storage, protection, present data content and documentation related to enterprise organizational processes.
出处
《电力大数据》
2017年第9期89-92,58,共5页
Power Systems and Big Data
