【摘要】：隨著證券公司的發(fā)展與信息化管理的快速進(jìn)步,商務(wù)智能應(yīng)運(yùn)而生,它為包括證券公司在內(nèi)的以數(shù)據(jù)為主的企業(yè)和公司提供了更多的發(fā)展商機(jī),有助于企業(yè)的內(nèi)部資源進(jìn)行配置,尤其是隨著海量數(shù)據(jù)時(shí)代的到來,數(shù)據(jù)在商業(yè)市場中發(fā)揮著非常重要的信息,可以幫助企業(yè)進(jìn)行決策層面支持。是提升企業(yè)的生產(chǎn)效率,增強(qiáng)企業(yè)核心競爭力的切實(shí)且有效的手段。針對業(yè)務(wù)量不斷上升的證券公司,有必要為其搭建有針對性的符合其特定需求的基于商務(wù)智能的應(yīng)用軟件。對證券公司的信息化的應(yīng)用軟件是擴(kuò)大生產(chǎn)的規(guī)模、提高效率的要求,也是順應(yīng)時(shí)代發(fā)展的趨勢,本文將對證券公司港集裝箱物流信息系統(tǒng)集成管理進(jìn)行研究和設(shè)計(jì)。本文首先介紹了商務(wù)智能發(fā)展,對商務(wù)智能的重要性進(jìn)行了分析,并且對國內(nèi)外應(yīng)用軟件系統(tǒng)的研究和發(fā)展階段做了調(diào)研和總結(jié)。然后對系統(tǒng)中應(yīng)用到的技術(shù),包括頁面技術(shù)、數(shù)據(jù)庫技術(shù)、開發(fā)平臺做了相應(yīng)的介紹。接著,就證券公司的實(shí)際情況,從組織結(jié)構(gòu)和信息系統(tǒng)數(shù)據(jù)方面進(jìn)行了需求分析,確定了系統(tǒng)需要具備的功能特點(diǎn)。并且在需求分析的基礎(chǔ)上進(jìn)行了系統(tǒng)的設(shè)計(jì)和實(shí)現(xiàn)。本文設(shè)計(jì)與實(shí)現(xiàn)的商務(wù)智能系統(tǒng)包括6個(gè)模塊,分別是系統(tǒng)管理模塊、基礎(chǔ)信息管理、特征提取、數(shù)據(jù)訓(xùn)練、數(shù)據(jù)預(yù)測和客戶信息管理模塊。其中系統(tǒng)管理模塊主要包括系統(tǒng)維護(hù)、基礎(chǔ)數(shù)據(jù)資料管理、數(shù)據(jù)管理和用戶權(quán)限管理;基礎(chǔ)資料管理模塊主要是對每天動(dòng)態(tài)更新的數(shù)據(jù)的一些增刪改查的操作,以及報(bào)表的生成。數(shù)據(jù)相關(guān)的模塊主要有特征提取,數(shù)據(jù)訓(xùn)練和數(shù)據(jù)預(yù)測三個(gè)功能模塊,通過與其他算法進(jìn)行對比得出了遺傳算法在特征提取上最具有優(yōu)勢,因此數(shù)據(jù)特提取優(yōu)化采用的是遺傳算法;而支持向量機(jī)模型在機(jī)器學(xué)習(xí)中是使用非常廣泛,所以數(shù)據(jù)訓(xùn)練和與測試采用支持向量機(jī)模型。最后是客戶信息管理模塊,這個(gè)模塊主要是對客戶信息的一些管理以及是客戶的自己的操作。在商務(wù)智能應(yīng)用軟件中,所有模塊既功能獨(dú)特,又相互之間密不可分,共同組成了一個(gè)有機(jī)的整體,從而達(dá)到全局的優(yōu)化和協(xié)調(diào)。最后對系統(tǒng)進(jìn)行了驗(yàn)證測試,總結(jié)了系統(tǒng)完成的工作和優(yōu)勢特點(diǎn)。該商務(wù)智能軟件能夠?qū)ψC券公司的所有數(shù)據(jù)進(jìn)行管理分析,并作出正確決策,對提高企業(yè)的運(yùn)作效率,規(guī)范管理和提高企業(yè)競爭力具有重要的促進(jìn)作用。
[Abstract]:With the development of securities companies and the rapid progress of information management, business intelligence emerges as the times require, which provides more business opportunities for data-based enterprises and companies, including securities companies. Especially with the arrival of the era of massive data, data plays a very important role in the business market and can help enterprises to support the decision-making level. It is a practical and effective means to enhance the production efficiency and enhance the core competitiveness of enterprises. For the securities companies with increasing business volume, it is necessary to build a business-intelligence based application software that meets their specific needs. The application software of securities company's informatization is the requirement of enlarging the scale of production and improving efficiency, and it is also the trend of the development of the times. This paper will study and design the integrated management of container logistics information system of securities company. This paper first introduces the development of business intelligence, analyzes the importance of business intelligence, and makes a survey and summary of the research and development of domestic and foreign application software systems. Then the application of the system technology, including page technology, database technology, development platform to do a corresponding introduction. Then, according to the actual situation of the securities company, the requirement analysis is carried out from the aspects of the organization structure and the information system data, and the functional characteristics of the system are determined. And on the basis of requirement analysis, the system is designed and implemented. The business intelligence system designed and implemented in this paper includes six modules: system management module, basic information management module, feature extraction module, data training module, data prediction module and customer information management module. The system management module mainly includes system maintenance, basic data management, data management and user rights management. The basic data management module is mainly about the operation of adding, deleting and checking the daily dynamic update data, as well as the generation of report forms. Data related modules include feature extraction, data training and data prediction. By comparing with other algorithms, it is concluded that genetic algorithm has the most advantages in feature extraction. Therefore, genetic algorithm is used to optimize data extraction. Support vector machine model is widely used in machine learning, so support vector machine model is used in data training and testing. Finally is the customer information management module, this module is mainly to the customer information management and is the customer's own operation. In the application software of business intelligence, all modules have unique functions and are inseparable from each other, and together form an organic whole to achieve global optimization and coordination. Finally, the system is verified and tested, and the work and advantages of the system are summarized. The business intelligence software can manage and analyze all the data of the securities company and make the correct decision. It can improve the operation efficiency of the enterprise, standardize the management and improve the competitiveness of the enterprise.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TP311.52
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本文編號：2408301