Perancangan Dashboard IT Helpdesk pada PT. XYZ

Muhammad Raditya Vivaldy
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Abstract

The helpdesk dashboard functions to monitor: the number of tickets available, the average handling time for each ticket, module, system, or application that gets the most tickets, the department that submits tickets the most, which is adjusted to the needs of the helpdesk of PT. XYZ. Ticket is a trouble ticket or problem report that is used in an organization to detect, report, and provide solutions to various types of problems. In this thesis, the authors create a data mart using Kimball's nine-step methodology. Before designing the IT helpdesk dashboard, PT. XYZ. will be processed first using data integration tools, namely Pentaho. Helpdesk data will go through a three-phase process, namely (i) extract, (ii) transform, and (iii) load (ETL). The data will then be loaded into the data mart and processed into a data cube. Data cube is a tool that describes technology using a multi-dimensional image of a number of data to provide faster access to strategic information with the aim of speeding up analysis. The data cube will be visualized using an interactive dashboard design tool, namely Grafana.
Perancangan Dashboard IT Helpdesk pad PT. XYZ
帮助台仪表板的功能是监控:可用的票据数量、每个票据的平均处理时间、获得最多票据的模块、系统或应用程序、提交最多票据的部门,这些都是根据PT. XYZ的帮助台的需要进行调整的。Ticket是组织中用于检测、报告和提供各种类型问题的解决方案的故障单或问题报告。在本文中,作者使用Kimball的九步方法创建了一个数据集市。在设计IT帮助台仪表板之前,PT. XYZ。将首先使用数据集成工具(即Pentaho)进行处理。Helpdesk数据将经历一个三个阶段的过程,即(i)提取、(ii)转换和(iii)加载(ETL)。然后将数据加载到数据集市并处理成数据多维数据集。数据立方体是一种工具,它描述了使用多个数据的多维图像来提供对战略信息的更快访问的技术,目的是加快分析速度。数据立方体将使用交互式仪表板设计工具可视化,即Grafana。
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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