Design And Implementation Of The Securities Company Business Intelligence Application

With the development of securities companies and the rapid progress of informatization management, business intelligence has emerged. It provides more development opportunities for enterprises and companies such as securities companies which exist based on data. It is helpful to allocating internal resources of enterprises,especially in this times when massive data is coming and data is playing an important role in commercial market, and supporting companies in decision-making level. Business intelligence is a practical and effective means to improve the production efficiency and core competitiveness. To securities companies whose the volume of business is rising, it is essential to build a certain application software which meet its requirements and based on business intelligence. This paper will discuss and design the integrated management of container logistics information system.The paper introduces the development of business intelligence, analysis the importance of business intelligence, and researches the stages of development of application software system at home and abroad. Then, the paper introduces the corresponding technique such as page technology, database technology, and development platform which is applied in the system. Following, according to the actual situation of the securities companies, the paper analysis organization structure and information system and determines the function characteristics that is needed by system. The business intelligence system designed by this paper including six modules: system management module, basic information management, feature extraction, training data, data prediction and customer information management module.System management module mainly includes the system maintenance, basic data management, data management and user rights management. Basic data management module can update, insert, delete, insearch the daily dynamic updating data and generate report.Data related module including feature extraction, data training, and data prediction. comparing with other algorithms, we know genetic algorithm has the advantage on feature extraction. Therefore the data extracted optimization use the genetic algorithm. Support vector machine model is widely used in machine learning, so the data training uses the support vector machine model.The customer information management module manages customer information and customers’ own operations. In the application of business intelligence software, all modules are unique and are inseparable from each other. They constitute an organic whole, so as to achieve global optimization and coordination.Finally we carried on the system test, and summarized the work completed by the system and the advantage of the system.The business intelligence software can manage and analysis all the data of the securities company, and make the right decision. It can enhance enterprises operation efficiency, standardize management and play an important role in improving the competitiveness of enterprises.