某公司決策支持系統(tǒng)的設(shè)計及優(yōu)化
[Abstract]:In the information age, various database systems are becoming more popular than ever, and widely used in various industries, which make storage and transaction processing easier, but how to deal with the flood of data, It is still a difficult problem for the decision makers of the organization. With the development of data warehouse and data mining, business intelligence and decision support system have become more and more popular tools for data analysis. This subject aims at the current situation that a company is using Kingdee K3 ERP system and the sails soft Fine Report decision support system which is developed by the company now, which has a slow running speed and a single function, and makes use of SQL Server business intelligence component and open source business intelligence suite. As well as JavaEE and open source frameworks to recustomize the new decision support system, Managing cockpit (MVS-DSS). The main work of this paper is as follows: research on data warehouse technology, including traditional data warehouse, decimation-transform-load (ETL) process, real-time data warehouse and so on. According to the shortcomings of a company's current decision support system, such as slow speed, unreasonable architecture and single data source, an optimized design scheme is put forward. This paper designs a data warehouse based on Kingdee K3 ERP system as the first data source, and describes the design process of the data warehouse in detail, including the design of star architecture, the design of data warehouse subject, and the design of database table. The design idea of ETL process of MVS-DSS and the implementation of ETL with open source ETL tool Kettle are described. On the basis of this, the ETL implementation of Excel data source is added. SpringMVC and Bootstrap, are used to develop the Web display system according to the needs of the decision makers, which is used as the display tool of the decision support system. The design process of MVS-DSS system integration test (SIT) and user acceptance test (UAT) are discussed. According to user feedback, the quadratic optimization scheme of MVS-DSS is designed and implemented. Through the above research and practice, the data warehouse based on Kingdee K3 ERP database and Excel data source is realized in this paper, and the data of a company is transformed and utilized reasonably. Through the developed display system, the data in the data warehouse is transformed into the available data in the decision support system, and the MVS-DSS, provides the method and means of information for the reasonable management company of a company. It also provides a basis for decision-makers to make decision-making for the company.
【學(xué)位授予單位】:東華大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP311.13
【參考文獻】
相關(guān)期刊論文 前10條
1 王朝霞;郭宇棟;談昨非;孟月昊;;基建工程數(shù)據(jù)倉庫構(gòu)建與應(yīng)用研究[J];中國管理信息化;2016年21期
2 劉亞娟;張相羽;郭勤;劉乃豪;;數(shù)據(jù)倉庫技術(shù)的應(yīng)用[J];通訊世界;2016年20期
3 陳立勇;于來行;;電信行業(yè)數(shù)據(jù)倉庫邏輯模型構(gòu)建研究[J];數(shù)字技術(shù)與應(yīng)用;2012年07期
4 鮑玉斌,孫煥良,于戈,嵇曉,王大玲;星鏈ER模型:一種數(shù)據(jù)倉庫概念設(shè)計模型[J];小型微型計算機系統(tǒng);2005年02期
5 張寧,賈自艷,史忠植;數(shù)據(jù)倉庫中ETL技術(shù)的研究[J];計算機工程與應(yīng)用;2002年24期
6 馬麗娜,劉弘,張希林;數(shù)據(jù)挖掘、OLAP在決策支持系統(tǒng)中的應(yīng)用[J];計算機應(yīng)用研究;2001年11期
7 袁長河,吳永明;基于數(shù)據(jù)倉庫的決策支持系統(tǒng)研究與建設(shè)[J];計算機工程與應(yīng)用;2001年16期
8 李建中,hlju.edu.cn,高宏;一種數(shù)據(jù)倉庫的多維數(shù)據(jù)模型[J];軟件學(xué)報;2000年07期
9 吉根林,帥克,孫志揮;數(shù)據(jù)挖掘技術(shù)及其應(yīng)用[J];南京師大學(xué)報(自然科學(xué)版);2000年02期
10 謝榕;基于數(shù)據(jù)倉庫的決策支持系統(tǒng)框架[J];系統(tǒng)工程理論與實踐;2000年04期
相關(guān)碩士學(xué)位論文 前5條
1 朱彬;居家醫(yī)健通系統(tǒng)的數(shù)據(jù)倉庫設(shè)計及其分析應(yīng)用研究[D];東華大學(xué);2016年
2 賈艷凱;多源異構(gòu)增量數(shù)據(jù)抽取方法研究與設(shè)計[D];哈爾濱工程大學(xué);2013年
3 舒琦;ETL過程優(yōu)化與增量數(shù)據(jù)抽取的研究[D];湖南大學(xué);2011年
4 肖裕洪;實時數(shù)據(jù)倉庫關(guān)鍵技術(shù)的研究與實現(xiàn)[D];華南理工大學(xué);2011年
5 盧碩;數(shù)據(jù)倉庫和數(shù)據(jù)挖掘在決策支持系統(tǒng)中的應(yīng)用研究[D];西安電子科技大學(xué);2006年
,本文編號:2423113
本文鏈接:http://sikaile.net/kejilunwen/ruanjiangongchenglunwen/2423113.html