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Evaluating A Business Intelligence Solution. Feasibility Analysis Based On Monte Carlo Method

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  • Muntean, Mihaela
  • Muntean, Cornelia

Abstract

Business Intelligence (BI) initiatives are challenging tasks, implying significant costs in their implementation. Therefore, organizations have adopted prudent policies requiring a financial justification. A business-driven methodology is recommended in any BI project initiative, 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. A SaaS BI initiative versus a traditional one will be taken into consideration.

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File URL: http://mpra.ub.uni-muenchen.de/48478/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 48478.

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Date of creation: 18 Nov 2012
Date of revision: 28 May 2013
Handle: RePEc:pra:mprapa:48478

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Keywords: Business Intelligence (BI); Software as a Service (SaaS); Monte Carlo method; BI project feasibility; Total Cost of Ownership (TCO); Return on Investment (ROI); Internal Rate of Return (IRR);

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  1. Muntean, Mihaela & Cabau, Liviu Gabriel, 2011. "Business Intelligence Approach In A Business Performance Context," MPRA Paper 29914, University Library of Munich, Germany.
  2. Eduard EDELHAUSER, 2011. "IT&C Impact on the Romanian Business and Organizations. The Enterprise Resource Planning and Business Intelligence Methods Influence on Manager’s Decision: A Case Study," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(2), pages 16-28.
  3. Marinela MIRCEA, 2008. "Strategy for selecting a Business Intelligence solution," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 0(1), pages 103-109.
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