The Key Technologies And Its Application Research Of Real-time Business Intelligence Integrating Context

Real-time business intelligence makes up for data latency, analysis latency anddecision latency of the traditional business intelligence, but at present, there havelargely lost the contextual information on the real-time business intelligence platformfor the handling of company’s business data analysis, which makes the businessdecision-makers often spend a lot of time and efforts to get the current businesssituation for contextual information. Real-time business intelligence integratingcontext can process the enterprise’s business data with the certain situation, and it willhelp enterprises analyze the reasons in-depth and make further real-time decision.Given the view, the thesis’s main research contents are as follows:First, it designs the architecture of real-time business intelligence and analyzesthree key technologies. This paper proposes the real-time business intelligencearchitecture for the drawbacks and latency issues of traditional business intelligence,and focus on the analysis and discussion of real-time data warehouse technology,real-time data analysis technology and real-time feedback technology supportingdecision-making, and most importantly, it builds the real-time data warehouse in thefinal application.Second, it realizes the context modeling and the building of context libraries. Itbuilds the concrete models and libraries of context according to a specific company,among this context library building, it calls some data and information from thereal-time data warehouse.Third, it develops and implements the platform of real-time business intelligenceintegrating context （CRTBI）． The thesis proposes the architecture of real-timebusiness intelligence integrating context, and initially achieves the development for asealing material enterprise using the SQL Server2008and Visual Studio2008, andthe most important thing is that it realizes the real-time data integration based on theincremental ETL, analyzes and mines the company’s sales data deeply by calling thecontext libraries with the similarity assessment of context in the process of dataanalysis and display.