發(fā)布時間：2018-03-15 12:28

  本文選題：高校招生　切入點(diǎn)：商業(yè)智能　出處：《華東理工大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：決策在管理中扮演著非常重要的角色,是組織成敗的關(guān)鍵,而信息則對制定科學(xué)的決策有著不可或缺的支持作用,可以這么說,得信息者得天下。伴隨著隨著移動互聯(lián)網(wǎng)、云計(jì)算、大數(shù)據(jù)等信息技術(shù)的廣泛應(yīng)用,越來越多的國內(nèi)外企業(yè)已經(jīng)認(rèn)識到挖掘數(shù)據(jù)背后的價(jià)值對于優(yōu)化企業(yè)決策的重要意義,但是國內(nèi)高校在這方面的認(rèn)識還停留在初級階段,不利于科學(xué)決策的制定和高校長遠(yuǎn)的發(fā)展。高校招生遠(yuǎn)程網(wǎng)上錄取已經(jīng)連續(xù)開展了十幾年,各大高校也積累了海量的歷史招生數(shù)據(jù),并且每年也會對這些數(shù)據(jù)進(jìn)行分析總結(jié)歸納。但作為一名一線的招生錄取工作者,本人認(rèn)為目前對于這些數(shù)據(jù)的利用還停留在較為粗淺的狀態(tài),有很多有價(jià)值的信息和規(guī)律還隱藏在這浩瀚的數(shù)據(jù)庫中亟待發(fā)現(xiàn)。隨著高考招生的不斷改革,每年的報(bào)考人數(shù)也呈逐年下降趨勢,如何適應(yīng)社會和時代的發(fā)展,在變化中保持自己的特色,同時又能緊緊抓住優(yōu)質(zhì)生源,在激烈的競爭中屹立不倒,服務(wù)于學(xué)校長足的發(fā)展定位,是每一所國內(nèi)一流院校都要思索的問題。本人認(rèn)為其中的關(guān)鍵所在是利用先進(jìn)的信息技術(shù)從決策制定的各個層次來優(yōu)化招生管理,使大量的歷史招生數(shù)據(jù)總結(jié)成有價(jià)值的決策規(guī)律為高校招生服務(wù)。本文將商業(yè)智能技術(shù)應(yīng)用到了國內(nèi)高校招生決策管理優(yōu)化中來,該項(xiàng)技術(shù)目前在該領(lǐng)域的運(yùn)用還相對較少。并將高校招生決策與現(xiàn)代決策管理理論相融合,分析了商業(yè)智能技術(shù)能對高校招生的戰(zhàn)略戰(zhàn)術(shù)決策、群體決策和非確定型決策起到不同程度的優(yōu)化。根據(jù)國內(nèi)高校招生管理的現(xiàn)實(shí)情況,構(gòu)建了基于BI的綜合招生決策支持系統(tǒng),整合了DSS、GDSS和IDSS的優(yōu)點(diǎn),利用BI對招生決策的整個過程體系實(shí)現(xiàn)優(yōu)化,同時擴(kuò)展了戰(zhàn)略戰(zhàn)術(shù)規(guī)劃、預(yù)測預(yù)警分析、人才選拔管理和不確定競爭分析等模塊。通過數(shù)據(jù)挖掘,進(jìn)一步歸納大量數(shù)據(jù)背后隱藏的模式和未來發(fā)展的趨勢,提升了高校招生管理對非確定型決策問題的分析手段和把握準(zhǔn)度。BI為高校招生管理決策提供具有實(shí)踐和指導(dǎo)意義的優(yōu)化支持,將進(jìn)一步推動高校實(shí)現(xiàn)招生決策管理的信息化、科學(xué)化和智能化。
[Abstract]:Decision making plays a very important role in management and is the key to the success or failure of an organization, and information plays an indispensable role in making scientific decisions. With the wide application of cloud computing, big data and other information technologies, more and more enterprises at home and abroad have realized the importance of mining the value behind the data for optimizing enterprise decision-making. However, the understanding of domestic colleges and universities in this respect is still at a preliminary stage, which is not conducive to the formulation of scientific decisions and the long-term development of colleges and universities. The remote online admission of university students has been carried out for more than ten years. Colleges and universities have also accumulated vast amounts of historical enrollment data, which are analyzed and summarized every year. But as a front-line admissions worker, I think at present the utilization of these data is still in a relatively shallow state, and there are many valuable information and rules hidden in this vast database that need to be found urgently. With the reform of college entrance examination enrollment, The number of applicants each year is also declining year by year. How to adapt to the development of society and the times, maintain their own characteristics in the changes, at the same time, can tightly grasp the source of high-quality students, stand firm in the fierce competition, Serving for the rapid development of schools is a problem that every first-class university in China should consider. I think the key lies in optimizing enrollment management from all levels of decision-making by using advanced information technology. So that a large number of historical enrollment data can be summarized as valuable decision-making rules to serve the enrollment of colleges and universities. This paper applies business intelligence technology to the optimization of enrollment decision management in domestic colleges and universities. The application of this technology in this field is relatively few at present. Combining the decision making of college enrollment with the theory of modern decision management, this paper analyzes the strategic and tactical decision that business intelligence technology can make on college enrollment. Group decision making and uncertain decision making are optimized in different degrees. According to the reality of enrollment management in domestic universities, a comprehensive enrollment decision support system based on BI is constructed, which integrates the advantages of DSS GDSs and IDSS. Using BI to optimize the whole process system of enrollment decision, at the same time expanding the modules of strategic and tactical planning, prediction and early warning analysis, talent selection management and uncertain competition analysis, etc. Through data mining, To further summarize the hidden patterns and future trends behind the large amount of data, It improves the analysis means of college enrollment management to the uncertain decision making problem and provides practical and guiding support for college enrollment management decision making by grasping the degree of accuracy. It will further promote the informatization of enrollment decision management in colleges and universities. Scientific and intelligent.
【學(xué)位授予單位】：華東理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：G647.32

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本文編號：1616026