A Proposed Architecture for E-Telligence Integration Model

e-Business is the complex fusion of business processes, enterprise applications, and organizational structure necessary to create a high-performance business model. The message is simple: Without transition to an e-business foundation, e-commerce cannot be executed effectively. In this paper, we discuss two new models in the e-business implementations. The first model is e-Business intelligence. This model is based on a fact that: when you pull all the raw data you have about your business onto the internet, you can draw meaning from information derived from this raw data, then you can take action or make strategy based on that knowledge. This model is based on four main intelligent tools: Data miner, report builder, data analyzer and query builder.The second model is the e-business integration. B2B e-commerce goes beyond online web stores, it requires numerous processes for even the simplest transaction. The key to success in this arena, and most of the other commercial applications driving business today, can be summed up in one word: integration.In this paper, we propose an architecture that combines and tolerates the previous two models. Our model can benefit the advantages of e-business intelligence model and e-business integration model. Our model can be implemented using database engines, logical integration hub, data warehouse builders and e-business intelligence tools. We can measure the system quality implementation of our model by measuring each of the previous components that corporate in model building