Business Intelligence

Prelude:

Business Intelligence is information retrieved by analysis of data collected from operational processes of a business. The analysis is based on a presumed mathematical or empirical model defining the data interrelationship. In conjunction with the same information from competition, one may devise a blue print in achieving specified goals. Additionally, in a predictive mode, in depth review and analysis of Business Intelligence, may point toward proactive measures to be taken in meeting the business’s tactical and strategic objectives. In general, Business Intelligence is a barometer of how good or bad a business is running. Consequently, the accurate collection of pertinent data and the understanding of the interrelationships among data have a paramount impact in design of a road map for success. By the same token, proper collection of Business Intelligence from competition, as an initial targeted goals, is also fundamentally important.

Our definition of Business Intelligence is the basis for methods deployed for our operational projects and educational curriculum.

In near future, in the following sections, we will describe commonly used mathematical and empirical methods of Business Intelligence.

Section II is dedicated to some industrial case studies. Examples of Pharmaceutical, CPG, R&D and High Technology companies will be presented.

Section III is devoted to proposed new approaches for industry specific solution.

Section IV is the repository of new challenges. In a generic format, cases under study will be presented for your review and feedback. Also, any academic thesis or dissertation will reside in this part.

Section V will include Business Intelligence curricula for academic and tailored version for industry.