利用仪表板系统实现交易数据分析可视化的商业智能案例研究:XYZ便利店

Ricky Akbar, Wahyudi, J. Rahmadoni, Hanifah Azra Lubis
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引用次数: 1

摘要

到目前为止,XYZ Department Store的事务数据管理流程已经使用Zahir Enterprise Application执行,该应用程序管理产品数据、供应商数据、客户数据、销售和采购事务数据。然而,这个应用程序还不能帮助管理人员快速分析数据以做出决策。因此,使用商业智能(BI)执行基于仪表板系统的数据可视化分析是解决这些问题的一种方法。当能够进行研究以证明BI的应用时,应该将BI框架用作参考,从问题识别开始,进展到计划阶段,其中包括评估基础设施和执行设计过程。接下来是分析阶段,它集中于对与BI实现相关的每个问题和业务机会进行彻底检查。此外,在设计阶段进行了数据仓库和ETL设计过程,并使用了PDI工具。最后,实施阶段包括选择和使用BI软件应用程序进行分析和可视化。此外,BI应用程序中的预测功能可以使管理人员更容易地通过使用称为指数平滑的时间序列预测来预测未来的事务。希望这项研究将导致基于仪表盘系统的数据可视化,这将有助于管理者做出更好的决策。
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The Implementation of Business Intelligence on Visualisation of Transaction Data Analysis using Dashboard System Case Study: XYZ Convenience Store
So far, the XYZ Department Store's transaction data management process has been carried out using the Zahir Enterprise Application, which manages products data, supplier data, customer data, sales and purchase transaction data. This application, however, has not been able to help managers quickly analyze data in order to make decisions. As a result, using Business Intelligence (BI) to perform Dashboard System-Based Data Visualization Analysis is one solution to these issues. The BI Framework should be used as a reference when able to conduct studies to prove the application of BI, beginning with problem identification and progressing to the planning phase, which includes evaluating infrastructure and conducting design process. The analysis phase follows, and it concentrates on a thorough examination of every problem and business opportunity related to BI implementation. Furthermore, the data warehouse and ETL design processes are carried out and use PDI tool during the design phase. Finally, the implementation phase includes the selection and the use of BI software applications for analyzing and visualizing. Furthermore, the forecasting feature in the BI application can be used to make it easier for managers to predict future transactions by using times series predictions known as exponential smoothing. It is hoped that this research will result in a Dashboard System-based data visualization that will help managers make better decisions.
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