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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
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.:
- Muntean, Mihaela & Cabau, Liviu Gabriel, 2011. "Business Intelligence Approach In A Business Performance Context," MPRA Paper 29914, University Library of Munich, Germany.
- Marinela MIRCEA, 2008. "Strategy for selecting a Business Intelligence solution," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 0(1), pages 103-109.
- 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht).
If references are entirely missing, you can add them using this form.