Based Business Intelligence Enterprise Business Activity Monitoring Platform Ban Build

With the rapid development and continuing expansion of the insurance industry,a successful insurance company must possess a prompt response capability in the market. However, at present, because of the invalidity of data monitoring enterprise managers are unable to make a flexible analysis of company business data, and predict the market development trend so that the company decision often lags behinds the market changes. Therefore, it is necessary to build a Business Activity Monitoring (BAM) platform of highly flexibility and easy expansion so as to satisfy the demands of complicated real-time data supervision, value analysis and strategic decision-making.It is indeed an inevitable trend for an insurance company to improve its core competitive ability.This thesis first analyses the background of the development of BAM and the significance of the construction of BAM platform. On this basis, then, the needs analysis of enterprise monitoring platform, and its overal 1 framework design, and detailed design and implementation are presented. This system uses Cognos business intelligence product, combined with the insurance company actual business needs, the system can fulfill real-time business activity monitoring. In order to reduce the complexity of system development, Cognos Now is used. The BAM system adopts a mode of date layer, processing layer, and presentation layer. To Cognos Web-based user interface, single sign-on and security control will be achieved through a unified authentication. The BAM uses Cognos 8 for display, and Cognos Now conducts real-time monitoring indicators, which ensures that the Web services provided by the system are decoupled, thus greatly simplifying the system, and improving its interactivity and reusability.using DataStage for system ETL layer of real-time data processing;By use of Dashboard a variety of graphics and reports are displayed at the same time,so users will feel comfortable while they are browsing. Finally, the paper discuses the integration and scalability of the system.