— Business Intelligence (BI) becomes an essential element in decision making system. BI provides decision making information for strategic and tactical users. Operational Business Intelligence (Operational BI) is an extension of BI functionality into operational level of the business. Thus, Operational BI provides decision making information not only strategic and tactical users but also operational users. The characteristics of Operational BI system is different from traditional BI system in terms of low latency, reduced access time, real time alerts and notification, large number of users, process oriented and event driven. So there is a great need for enterprise architectural framework that supports the characteristics of Operational BI system. In this paper, we present an architectural framework for Operational BI system that uses Model View Controller (MVC) framework which is a well proven design pattern of Java 2 Platform, Enterprise Edition (J2EE). The proposed framework of the system is presented interms of multi-tiered architecture, MVC Model 2 architecture, generic objects flow and sequence diagram. Finally, the system architecture of the proposed system is envisaged. The proposed architectural framework is highly scalable and supports for enterprise Operational BI applications and systems.
— Architectural framework, business intelligence, J2EE, model view controller, model 2 architecture, operational business intelligence.
A. D. N. Sarma is with the Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur - 522 510, Andhra Pradesh, India (e-mail: email@example.com).
R. Siva Rama Prasad is with the Department of Computer Science and Engineering, Coordinator of Department of International Business Studies, Acharya Nagarjuna University, Guntur - 522 510, Andhra Pradesh, India (e-mail: firstname.lastname@example.org).
Cite: A. D. N. Sarma and R. Sivarama Prasad, " Architectural Framework for Operational Business Intelligence System," International Journal of Innovation, Management and Technology vol. 5, no. 4, pp. 294-300, 2014.