Muntean, Mihaela and Muntean, Cornelia and Cabau, Liviu Gabriel (2013): Evaluating Business Intelligence Initiatives With Respect To BI Governance. Published in: Proceedings of the IE 2013 International Conference (24 April 2013)
Preview |
PDF
MPRA_paper_48486.pdf Download (517kB) | Preview |
Abstract
The BI governance concept is introduced and with respect to the established framework for approaching Business Intelligence strategies, a demarche for evaluating BI initiatives will be proposed. Monte Carlo simulation method will be used to fundament the decision to move forward with a Business Intelligence project.
Item Type: | MPRA Paper |
---|---|
Original Title: | Evaluating Business Intelligence Initiatives With Respect To BI Governance |
Language: | English |
Keywords: | BI governance, feasibility study, Monte Carlo method |
Subjects: | C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods G - Financial Economics > G3 - Corporate Finance and Governance > G34 - Mergers ; Acquisitions ; Restructuring ; Corporate Governance M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M1 - Business Administration > M15 - IT Management |
Item ID: | 48486 |
Depositing User: | mihaela muntean |
Date Deposited: | 21 Jul 2013 13:31 |
Last Modified: | 27 Sep 2019 16:32 |
References: | [1] F.L. Bennett, F.L, The Management of Construction: A Project Life Cycle Approach, 1st ed. Burlington: Butterworth-Heinemann, 2003 [2] N. Guiterrez, Business Intelligence (BI) Governance. Going beyond project selection and prioritization to materialize the enterprise strategy, Building Tomorrow’s Enterprise, Infosys Whitepaper, 2006, http://www.infosys.com/industries/consumer-packaged-goods/whitepapers/ Documents/bi-governance.pdf [3] B. Leonard, Governance. A Business Intelligence Best Practice, BaseLine Consulting White Paper, 2007, http://www.tdan.com/view-articles/4686 [4] D. Larson, D. Matney, The Four Components of BI Governance, 2007, http://www.bibest practices.com/view/4681 [5] ***, Calculating ROI for BI Solutions in Small and Mid-Sized Businesses, Oco Inc. (www.oco-inc.com) White Paper, 2007, http://whitepapers.technologyevaluation.com/ pdf/8499/calculating-roi-for-business-intelligence-solutions-in-small-and-midsizedbusinesses. pdf [6] J. Fernandez-Gonzales, Business Intelligence Governance, Closing the IT/Business Gap, The European Journal of Informatics Professionals, vol. IX, issue 1, 2008, http://www.cepis.org/ upgrade/files/2008-1-gonzalez.pdf [7] D.D. Popescu, Enterprise Analysis, Ed. ASE, Bucuresti, 2009 [8] P. Pant, Business Intelligence: How to build successful BI strategy, Deloitte Development White Paper, 2009, http://www.deloitte.com/assets/Dcom- SouthAfrica/Local%20Assets/Documents/Business%20intelligence%20that%20aligns%20wi th%20enterprise%20goals.pdf [9] J. G. Gonzalez, How to Apply a Monte Carlo Simulation to a Feasibility Study, 2009 [10] M. Muntean, L. Cabău, Business Intelligence Approach in a Business Performance Context, Austrian Computer Society, Band 280, 2011 [11] C. Brândaş, Study on the Support Systems for Corporate Governance, Revista de Informatică Economică, vol. 15, no. 4, 2011 [12] M. Muntean, C. Muntean, Evaluating a Business Intelligence Solution. Feasibility Analysis based on Monte Carlo Method, Working paper, 2012 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/48486 |