Muntean, Mihaela and Muntean, Cornelia (2012): Evaluating A Business Intelligence Solution. Feasibility Analysis Based On Monte Carlo Method. Published in: ECECSR Journal No. 2/2013 (18 June 2013): pp. 85-102.
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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.
Item Type: | MPRA Paper |
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Original Title: | Evaluating A Business Intelligence Solution. Feasibility Analysis Based On Monte Carlo Method |
Language: | English |
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) |
Subjects: | C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C88 - Other Computer Software G - Financial Economics > G1 - General Financial Markets > G17 - Financial Forecasting and Simulation L - Industrial Organization > L2 - Firm Objectives, Organization, and Behavior > L21 - Business Objectives of the Firm L - Industrial Organization > L8 - Industry Studies: Services > L86 - Information and Internet Services ; Computer Software M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M1 - Business Administration > M15 - IT Management |
Item ID: | 48478 |
Depositing User: | mihaela muntean |
Date Deposited: | 21 Jul 2013 12:10 |
Last Modified: | 26 Sep 2019 09:26 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/48478 |