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Using Databases in Decisions Systems for Businesses

机译:在企业决策系统中使用数据库

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The paper presents the usage of databases that store business data into a warehouse star model that permits to create queries using SQL language and business intelligence tools. This kind of model allow to the decision maker to create complex reports and graphs based on the columns from the dimension tables and measures from fact tables, that can be the base for creating alternatives and scenarious acording to the economical indicators. Building alternatives and scenarious is an elaborate task and must have a background in existing data structured in databases that have a special structure of dimensions and fact tables. This data warehouse star model allow complex analyses such as rollup, drill down, slice and dice through the dimensions and fact tables by using special tools such as online analythical processes and complex queries based on views and snapshots. To create simulation envolves changing strategic economical indicators and keeping restrains on others so they reflect reality and the business environment. The business environments require analyses on large amount of data, big data and necessitate advanced tools to query through numerous criterias and also to create different realistic scenarious that allow choosing one option, so the business manager can use the right tool to gain economic advantage.
机译:本文介绍了将业务数据存储到仓库星形模型中的数据库的用法,该模型允许使用SQL语言和商业智能工具创建查询。这种模型允许决策者根据维度表中的列和事实表中的度量来创建复杂的报告和图形,这可以作为根据经济指标创建替代方案和方案的基础。构建替代方案和方案是一项艰巨的任务,并且必须具有数据库中结构化的现有数据的背景,这些数据具有特殊的维度和事实表结构。该数据仓库星型模型允许使用特殊工具(例如,在线分析流程以及基于视图和快照的复杂查询)对维度和事实表进行复杂的分析,例如汇总,下钻,切片和切块。创建模拟涉及不断变化的战略经济指标并保持对其他指标的约束,以便它们反映现实和商业环境。业务环境需要对大量数据,大数据进行分析,并且需要高级工具来通过众多标准进行查询,并且还需要创建允许选择一个选项的不同现实方案,因此业务经理可以使用正确的工具来获得经济优势。

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