Enterprise Intelligence

Abstract

This paper examines the key issues associated with current and future implementations of business intelligence (BI). The authors review the literature and discover both the growing importance and emerging issues associated with BI. The issues are further examined with an exploratory, but detailed, case study of organizations from a variety of industries, yielding a series of lessons learned. The authors find that organizations are rapidly moving to an enterprise perspective on BI, but in an unsystematic way. The authors present a prescription for the future of BI called “enterprise intelligence” (EI). EI is described in a framework that combines elements of hierarchy theory, organization modeling, and intellectual capital.

A Tree-Based Approach for Detecting Redundant Business Rules in Very Large Financial Datasets

“…This solution can improve the normalisation step of our approach. Next, we also consider a scalability issues for the rule validation in terms of enterprise intelligent (Morabito, Stohr, & Genc, 2011). Let's consider a scenario where this process will be applied in hundreds of branches of the invest-Figure 14.…”