Study on Administrative Management and Decision Analysis Based on Data Warehouse

Qiang Gao
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引用次数: 1

Abstract

This paper aims to improve the quality and effectiveness of administrative management using both decision analysis and data warehouse technology. Firstly, the structure of the Administrative management system is organized by five modules, which are 1) Administrative management module, 2) Decision support module, 3) Personal management module, 4) Information delivery management module, and 5) System maintenance module. Secondly, the decision analysis system for administrative management is developed by four sub-systems, that is, 1) Database management system, 2) Model base management system, 3) Knowledge base management system, and 4) Method base management system. Afterwards, to build system for administrative management, a decision analysis algorithm combined with data warehouse is designed. Finally, to test the performance of our system, we implement an administrative management system. Experimental results show that utilizing the data warehouse technology, quality of administrative management is significantly improved in four aspects: 1) Administration efficiency evaluation, 2) Quality administration evaluation, 3) Administration management satisfaction evaluation, and 4) Administrative management coverage evaluation.
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基于数据仓库的行政管理与决策分析研究
本文旨在利用决策分析和数据仓库技术来提高行政管理的质量和效率。首先,将行政管理系统的结构划分为五个模块,分别是:1)行政管理模块,2)决策支持模块,3)人员管理模块,4)信息传递管理模块,5)系统维护模块。其次,开发了行政管理决策分析系统,分为数据库管理系统、模型库管理系统、知识库管理系统、方法库管理系统四个子系统。然后,为了构建行政管理系统,设计了一种结合数据仓库的决策分析算法。最后,为了测试系统的性能,我们实现了一个行政管理系统。实验结果表明,利用数据仓库技术,在行政管理效率评价、行政管理质量评价、行政管理满意度评价和行政管理覆盖面评价四个方面显著提高了行政管理质量。
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