本文選題：數(shù)據(jù)挖掘 + 客戶分類(lèi)　； 參考：《大連理工大學(xué)》2013年碩士論文

【摘要】：在信息時(shí)代,隨著計(jì)算機(jī)技術(shù)與互聯(lián)網(wǎng)技術(shù)的迅猛發(fā)展,企業(yè)的經(jīng)營(yíng)方式發(fā)生了質(zhì)的變化。企業(yè)競(jìng)爭(zhēng)已由靠規(guī)模價(jià)格取勝,轉(zhuǎn)變?yōu)榭繚M足顧客的多樣化個(gè)性化需求及快速反應(yīng)制勝,高效率已經(jīng)成為企業(yè)競(jìng)爭(zhēng)力的主要特征。企業(yè)必須在這種競(jìng)爭(zhēng)環(huán)境下,探索新的競(jìng)爭(zhēng)手段,提高自身的市場(chǎng)競(jìng)爭(zhēng)能力。 本文圍繞長(zhǎng)城鉆探公司的智能決策支持系統(tǒng)進(jìn)行設(shè)計(jì),實(shí)現(xiàn)了客戶管理、銷(xiāo)售管理、采購(gòu)管理、庫(kù)存管理、生產(chǎn)管理等模塊。在決策部分根據(jù)企業(yè)客戶特征和背景,分析客戶價(jià)值,按照分析結(jié)果對(duì)客戶進(jìn)行細(xì)分,設(shè)定相應(yīng)的客戶級(jí)別,從而指導(dǎo)長(zhǎng)城鉆探有限公司將有限的服務(wù)資源進(jìn)行更有效的分配,以期望最少的投入獲得更大的回報(bào)。本文重點(diǎn)研究了基于數(shù)據(jù)挖掘的客戶分類(lèi)決策模塊,通過(guò)準(zhǔn)確的定位目標(biāo)客戶,滿足客戶的個(gè)性化及特殊需求,最大化的挖掘潛在購(gòu)買(mǎi)額度高的客戶,進(jìn)而提高客戶對(duì)企業(yè)的忠誠(chéng)度和利潤(rùn)貢獻(xiàn)率,從而全面提升企業(yè)的市場(chǎng)競(jìng)爭(zhēng)能力、贏利能力和服務(wù)能力,提高企業(yè)整體客戶關(guān)系管理水平,降低服務(wù)成本和客戶流失率。本系統(tǒng)采用SQL Server數(shù)據(jù)庫(kù),運(yùn)用C#編程語(yǔ)言,在.NET4.0環(huán)境下進(jìn)行開(kāi)發(fā),完成了適合中小企業(yè)實(shí)際情況又具有決策支持的系統(tǒng)。 本文描述了從需求分析,概要設(shè)計(jì),到詳細(xì)設(shè)計(jì),其中包含了數(shù)據(jù)庫(kù)設(shè)計(jì),再到實(shí)現(xiàn)與測(cè)試的開(kāi)發(fā)過(guò)程。在測(cè)試階段,通過(guò)白盒測(cè)試、黑盒測(cè)試等方法對(duì)系統(tǒng)進(jìn)行各個(gè)方面的測(cè)試,系統(tǒng)的測(cè)試結(jié)果表明,本系統(tǒng)能滿足用戶需求,其整體性能也達(dá)到了系統(tǒng)的預(yù)期目標(biāo)。
[Abstract]:In the information age, with the rapid development of computer technology and Internet technology, the business mode of enterprises has changed qualitatively. The enterprise competition has changed from relying on the scale price to meeting the customers' diversified and individualized demand and quick reaction. The high efficiency has become the main characteristic of the enterprise competitiveness. In this competitive environment, enterprises must explore new means of competition and improve their market competitiveness. In this paper, the intelligent decision support system of the Great Wall drilling Company is designed, and the modules of customer management, sales management, purchasing management, inventory management and production management are realized. In the decision-making part, the customer value is analyzed according to the customer characteristics and background of the enterprise, the customer is subdivided according to the analysis result, and the corresponding customer level is set, thus instructing the Great Wall drilling Co., Ltd to distribute the limited service resources more effectively. Get a bigger return with the least expected investment. This paper focuses on the research of customer classification decision module based on data mining, through the accurate positioning of target customers, to meet the personalized and special needs of customers, maximize the mining of potential customers with high purchase amount. Then the customer loyalty to the enterprise and the profit contribution rate are improved, thus the market competition ability, the profit ability and the service ability of the enterprise are improved, the customer relationship management level of the whole enterprise is improved, and the service cost and the customer turnover rate are reduced. Using SQL Server database and C # programming language, the system is developed in the environment of .NET4.0, which is suitable for the actual situation of small and medium-sized enterprises and has decision support system. This paper describes the development process from requirements analysis, summary design to detailed design, including database design, implementation and testing. In the testing stage, the system is tested in all aspects by the methods of white box test and black box test. The system test results show that the system can meet the needs of users, and its overall performance reaches the expected goal of the system.
【學(xué)位授予單位】：大連理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類(lèi)號(hào)】：TP311.52

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