通过商业智能工具支持决策制定

Milena Tvrdíková
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引用次数: 44

摘要

讨论了商业智能应用的问题。简要介绍了商业智能工具的主要组成部分。重点是数据仓库和该领域的一个新工具,即操作数据存储。这些技术使获得一流质量的数据成为可能。提出了操作性数据存储应用的一些新特性。解释了用户在元数据设计中的作用,并强调了其对信息系统效率的影响。数据挖掘是一种从大型数据集中获取新信息的有效工具,商业智能工具是数据挖掘应用的必要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Support of Decision Making by Business Intelligence Tools
Issues of business intelligence applications are discussed. Main parts of business intelligence tools are briefly described. The attention is paid to the data warehouses and to a new tool in this field, to the operational data stores. These technologies enable to get the data of first-rate quality. Some new features of operational data stores' applications are proposed. The role of users in the design of metadata is explained and its influence on the efficiency of information systems is emphasized. Business intelligence tools are the necessary conditions for applications of data mining, an efficient tool for getting new information from large datasets.
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