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Theory and Practice in Business Intelligence

Mihaela Muntean

MPRA Paper from University Library of Munich, Germany

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: L86 M10 (search for similar items in EconPapers)
Date: 2012-08-05, Revised 2012-09-15
New Economics Papers: this item is included in nep-bec, nep-cmp, nep-ore and nep-ppm
References: Add references at CitEc
Citations: View citations in EconPapers (2)

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