Implementation of Business Intelligence In Analyzing Data Using Tableau at PT Global Bintan Permata

bit-Tech Pub Date : 2023-08-25 DOI:10.32877/bt.v6i1.875
Guy Ritchie, Susanto Hariyanto
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Abstract

PT Global Bintan Permata is member group Yafindo (Batam, Indonesia) which is engaged in the distribution and import goods consumption and goods consumption throughout Indonesia . one _ business being run is distributing sugar _ throughout modern market and delivery some are via transportation and some are done in a manner independent . The target market namely the big modern market like Alfamart , Alfamidi , Indomarco , Indogrosir , Tiptop, and there is also a small modern market like Totalfruits , Grandlucky , etc. _ Of the many transactions made by the company this company _ This Still Not yet own Dashboard application for monitoring activity operations and transactions . So from it is needed something deep data visualization dashboard shape . Method used to data warehouse design is use method kimball nine-step technology. For the Extract, Transform and Load (ETL) process for data warehouse design using tools in the Pentaho Data Integration application , meanwhile For dashboard visualization is done with use the Tableau Public app . Result of application Tableau Public app is form generated data visualization dashboard reports containing information in form the data visualization it consists of from transaction and marketing data in 2021. Dashboard provides information For know How development sale both product and sales are also developing transactions with customers in 2021 later will become base in taking decisions required by management within PT Global Bintan Permata for help in the process of taking decision.
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在PT Global Bintan Permata使用Tableau分析数据的商业智能实现
PT Global Bintan Permata是成员集团Yafindo (Batam, Indonesia),在印尼各地从事分销和进口商品消费和商品消费。其中一项业务是在整个现代市场分销糖,有些是通过运输,有些是通过独立的方式完成的。目标市场即大型现代市场,如Alfamart, Alfamidi, Indomarco, Indogrosir, Tiptop,还有一个小型现代市场,如Totalfruits, Grandlucky等。_该公司所做的许多交易_该公司尚未拥有监控活动操作和交易的仪表板应用程序。所以从它需要一些深层次的数据可视化仪表板的形状。数据仓库设计的方法是采用金伯尔九步法技术。对于数据仓库设计的提取、转换和加载(ETL)过程,使用Pentaho数据集成应用程序中的工具,同时对于仪表板可视化,使用Tableau公共应用程序完成。应用程序Tableau Public应用程序的结果是表单生成的数据可视化仪表板报告,其中包含2021年交易和营销数据的数据可视化形式的信息。仪表板提供了了解如何开发销售的信息,产品和销售也在开发2021年与客户的交易,之后将成为PT Global Bintan Permata管理层在决策过程中提供帮助的决策基础。
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