Theory and Practice in Business Intelligence

6 Pages Posted: 21 Sep 2012

Date Written: August 20, 2012


The debate is developed based on the following considerations: 1 - Business Intelligence (BI) is unanimous considered the art of gaining business advantage from data; therefore BI systems and infrastructures must integrate disparate data sources into a single coherent framework for real-time reporting and detailed analysis within the extended enterprise; 2 - Business Intelligence can be described as a value proposition that helps organizations in their decision-making processes; 3 – the Business Intelligence Value Chain represents a "From DATA To PROFIT" approach and is recommended to ground any performance management program. Different aspects, including theoretical considerations and practice examples, regarding location intelligence, mobile BI, cloud-based BI, social BI and collaborative Business Intelligence will be treated, pointing out some of the author’s contributions.

Nowadays, organizations have adopted more prudent policies requiring a financial justification for nearly every IT initiative, including Business Intelligence system implementations. A business-driven methodology is recommended in any BI project management approach, project scoping and planning being vital for the project success. A business-driven approach of a BI project implementation starts with a feasibility study. The decision-making process for large projects is very complicated, and will not be subject of this paper. Having in mind a middle-sized BI project, a feasibility study based on the Monte Carlo simulation method will be conducted.

Keywords: Business Intelligence (BI), BI value chain, BI project, Location Intelligence, Social BI, Mobile BI, Cloud BI, Collaborative BI

Suggested Citation

Muntean, Mihaela, Theory and Practice in Business Intelligence (August 20, 2012). Available at SSRN: or

Mihaela Muntean (Contact Author)

West University of Timisoara ( email )

Bd. Vasile Parvan nr.4
Timisoara 300223, Timis 330023

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