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Data Warehouse Design with Kimball Method: Case Study of Fahrenheit Manufacturing Systems

机译:Kimball方法进行数据仓库设计:以华氏制造系统为例

摘要

Competition in the business world that increasingly stringent requires management to make decisions accurately and quickly. It is also felt by Farhenheit as entrepreneurs. To achieve thier forte in competing in theglobal competition, he needs systems like strategic decision makers which is up-to-date reliable and fast. Then the solution of area manufatur datawarehouse design is necessary to support the above objectives,i.e. : the right and fast decisions. However, Fahrenheit only has ERP as their core system currently and they do not have management support system. They have some difficulty to understand some problems and do better analysis. There are some datawarehouse development methodologies. Methods that will be used for the development of datawarehouse design is Kimball Method. Kimball method was chosen because of its development process that follows the business process is very suitable for the development of datawarehouse gradually to a company.Kimball\u27s method gives a mart for the related business processes.This study is conducted by interview and survey from several senior managers and directors in Fahrenheit to know about their requirement and how they do analysis currently.
机译:商业世界中日趋严格的竞争要求管理层做出准确,迅速的决策。 Farhenheit作为企业家也感受到了这一点。为了在全球竞争中立于不败之地,他需要诸如战略决策者之类的系统,这些系统是最新可靠且快速的。为了支持上述目标,必须制造区域制造数据仓库的解决方案。 :正确,快速的决定。但是,华氏目前仅以ERP为核心系统,没有管理支持系统。他们很难理解一些问题并进行更好的分析。有一些数据仓库开发方法。用于开发数据仓库设计的方法是Kimball方法。选择Kimball方法是因为其遵循业务流程的开发过程非常适合逐步发展为公司的数据仓库。Kimball的方法为相关业务流程提供了一个集市。华氏公司的高级经理和董事了解他们的要求以及他们目前如何进行分析。

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    Widianty, Widianty;

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  • 年度 2015
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