Theory and Practice in Business Intelligence
AbstractThe 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 41359.
Date of creation: 05 Aug 2012
Date of revision: 15 Sep 2012
Business Intelligence (BI); BI value chain; BI project; Location Intelligence; Social BI; Mobile BI; Cloud BI; Collaborative BI;
Find related papers by JEL classification:
- M10 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - General
- L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-09-22 (All new papers)
- NEP-BEC-2012-09-22 (Business Economics)
- NEP-CMP-2012-09-22 (Computational Economics)
- NEP-ORE-2012-09-22 (Operations Research)
- NEP-PPM-2012-09-22 (Project, Program & Portfolio Management)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Muntean, Mihaela & Mircea, Gabriela & Bazavan, Sandra, 2012. "QR Codes Usage Approach In The Virtualized Consumption," MPRA Paper 41141, University Library of Munich, Germany, revised 27 Apr 2012.
- Teodora VÄƒtuiu & Mioara UdricÄƒ & Naiana TarcÄƒ, 2013. "Cloud Computing Technology - Optimal Solution for Efficient Use of Business Intelligence and Enterprise Resource Planning Applications," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, ScientificPapers.org, vol. 3(6), pages 28, December.
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