证券公司商务智能应用软件的设计与实现
发布时间：2019-01-13 09:07
【摘要】：随着证券公司的发展与信息化管理的快速进步,商务智能应运而生,它为包括证券公司在内的以数据为主的企业和公司提供了更多的发展商机,有助于企业的内部资源进行配置,尤其是随着海量数据时代的到来,数据在商业市场中发挥着非常重要的信息,可以帮助企业进行决策层面支持。是提升企业的生产效率,增强企业核心竞争力的切实且有效的手段。针对业务量不断上升的证券公司,有必要为其搭建有针对性的符合其特定需求的基于商务智能的应用软件。对证券公司的信息化的应用软件是扩大生产的规模、提高效率的要求,也是顺应时代发展的趋势,本文将对证券公司港集装箱物流信息系统集成管理进行研究和设计。本文首先介绍了商务智能发展,对商务智能的重要性进行了分析,并且对国内外应用软件系统的研究和发展阶段做了调研和总结。然后对系统中应用到的技术,包括页面技术、数据库技术、开发平台做了相应的介绍。接着,就证券公司的实际情况,从组织结构和信息系统数据方面进行了需求分析,确定了系统需要具备的功能特点。并且在需求分析的基础上进行了系统的设计和实现。本文设计与实现的商务智能系统包括6个模块,分别是系统管理模块、基础信息管理、特征提取、数据训练、数据预测和客户信息管理模块。其中系统管理模块主要包括系统维护、基础数据资料管理、数据管理和用户权限管理;基础资料管理模块主要是对每天动态更新的数据的一些增删改查的操作,以及报表的生成。数据相关的模块主要有特征提取,数据训练和数据预测三个功能模块,通过与其他算法进行对比得出了遗传算法在特征提取上最具有优势,因此数据特提取优化采用的是遗传算法;而支持向量机模型在机器学习中是使用非常广泛,所以数据训练和与测试采用支持向量机模型。最后是客户信息管理模块,这个模块主要是对客户信息的一些管理以及是客户的自己的操作。在商务智能应用软件中,所有模块既功能独特,又相互之间密不可分,共同组成了一个有机的整体,从而达到全局的优化和协调。最后对系统进行了验证测试,总结了系统完成的工作和优势特点。该商务智能软件能够对证券公司的所有数据进行管理分析,并作出正确决策,对提高企业的运作效率,规范管理和提高企业竞争力具有重要的促进作用。
[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.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.52
，
本文编号：2408301
[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.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.52
，
本文编号：2408301
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