Designing Data Warehouse Model Using Benefit Cost Ratio Analysis Method

M. Qusyairi, M. Sudarma, A. Dharma
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引用次数: 0

Abstract

The data warehouse has the function to make the spread company’s data to be integrated and concise, thereby it helps executives in analyzing the existing data to obtain a quick and accurate strategic decision. This research has the objective to design a data warehouse within the scope of application of the benefit-cost ratio. As a solution to the feasibility of the company’s business, the unity of different data enables it to be combined with the results of the company’s in-depth analysis. In designing the model, this research succeeded in designing a data warehouse with the application of benefit-cost-ratio method which is used to carry out an in-depth analysis of the financial sector by providing the feasibility and percentage results of the current business. In summary, the source data that is processed into the process of extracting, transforming, and loading which built by the star schema will affect the quality of generated data for the process of queries. In addition, the results of the data warehouse used for the decision-making process and feasible business strategy.
利用效益成本比分析法设计数据仓库模型
数据仓库具有使传播公司的数据集成和简洁的功能,从而帮助高管分析现有数据,以获得快速准确的战略决策。本研究的目的是设计一个在效益成本比适用范围内的数据仓库。作为公司业务可行性的解决方案,不同数据的统一性使其能够与公司的深入分析结果相结合。在设计模型时,本研究成功地设计了一个应用效益成本比方法的数据仓库,通过提供当前业务的可行性和百分比结果,对金融部门进行了深入分析。总之,星形模式构建的提取、转换和加载过程中处理的源数据将影响查询过程中生成的数据的质量。此外,数据仓库的结果用于决策过程和可行的业务策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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审稿时长
24 weeks
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