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Development of Business Intelligence Solution for Personnel Administration

机译:人事管理企业智能解决方案的开发

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The purpose of this research is to develop a business intelligence (BI) solution for personnel planning, with a case study of Thai university. It is generalized such that educational institutes and personnel departments of armed forces can adopt to manage military staffs more effectively. This can support the managerial decision making, with analysis of personnel administration and guidelines for operation. Personal achievement evaluation process is necessary to understand each employees abilities, competencies, and relative merits, which are crucial for an organizational success. The proposed BI framework consists of creating a data warehouse upon existing information repository. It also includes the development of intelligent report capability that allows customization of views to analyze and meet the needs of the management and related users. This is implemented as a well-designed form of requirement-specific information, such that the executive is able to acquire the correct and updated data through the Internet to support analysis, planning, efficient following up of overall operation. It is developed as a web based application, where MySQL Server is exploited as database management system and a module of ETL (Extract, Transform and Load) to turn transactional data into a data warehouse. In addition, the Online Analytic Processing (OLAP) technique is used to present the summarized data as a multidimensional cube. The experiment concludes that the development of this BI system can help the executives to get hold of the data more quickly and timely as required. Moreover, based on the survey with a group of users who have experiences with the system, the level of satisfaction is high.
机译:本研究的目的是为人员规划开发一个商业智能(BI)解决方案,泰国大学案例研究。它是推广的,使得教育机构和武装部队的人员部门可以更有效地管理军事人员。这可以支持管理决策,分析人员管理和操作指南。个人成就评估过程是必要了解每个员工的能力,能力和相对优点,这对组织成功至关重要。建议的BI框架包括在现有信息存储库时创建数据仓库。它还包括开发智能报告功能,允许自定义视图来分析和满足管理和相关用户的需求。这是实现精心设计的需求特定信息形式,使得执行能徒能够通过互联网获取正确和更新的数据来支持分析,规划,高效遵循整体操作。它被开发为基于Web的应用程序,其中MySQL Server被利用为数据库管理系统和ETL(提取,转换和加载)的模块,以将事务数据转换为数据仓库。此外,在线分析处理(OLAP)技术用于将汇总数据作为多维立方体呈现。该实验得出结论认为,这双系统的发展可以帮助高管根据需要更快和及时地持有数据。此外,根据对具有系统经验的一组用户的调查,满意度高。

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