Evaluating A Business Intelligence Solution. Feasibility Analysis Based On Monte Carlo Method
AbstractBusiness 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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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 48478.
Date of creation: 18 Nov 2012
Date of revision: 28 May 2013
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);
Find related papers by JEL classification:
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm
- L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
- M15 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration - - - IT Management
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-07-28 (All new papers)
- NEP-CMP-2013-07-28 (Computational Economics)
- NEP-ORE-2013-07-28 (Operations Research)
- NEP-PPM-2013-07-28 (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.:
- Eduard EDELHAUSER, 2011. "IT&C Impact on the Romanian Business and Organizations. The Enterprise Resource Planning and Business Intelligence Methods Influence on Managerâ€™s Decision: A Case Study," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(2), pages 16-28.
- Marinela MIRCEA, 2008. "Strategy for selecting a Business Intelligence solution," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 0(1), pages 103-109.
- Muntean, Mihaela & Cabau, Liviu Gabriel, 2011. "Business Intelligence Approach In A Business Performance Context," MPRA Paper 29914, University Library of Munich, Germany.
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