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Growing Science » Uncertain Supply Chain Management » Analyzing the required infrastructures in creating the architecture of Business Intelligence in Mellat Bank

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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print)
Quarterly Publication
Volume 3 Issue 2 pp. 97-102 , 2015

Analyzing the required infrastructures in creating the architecture of Business Intelligence in Mellat Bank Pages 97-102 Right click to download the paper Download PDF

Authors: Fatemeh Khani, Maliheh Mirzakhani, Seyyed Hamid Hosseini

DOI: 10.5267/j.uscm.2015.1.002

Keywords: BI Indices, Evaluation, The Business Intelligence (BI)

Abstract: The essence of moving the organizations and companies toward the implementation of the Business Intelligence (BI) in the current competitive and complex atmosphere is not unfamiliar for any manager. By online analytic processing, the Business Intelligence analyzes the business data and creates a suitable context for making accurate and smart decisions. Neither as a product nor as a system but as the architecture and a new approach, the Business Intelligence has contained a set of analytic and applied programs. Since the managers have to identify the required infrastructures in creating the mentioned architecture before any applicable measures, the probable failures must be also considered and then solved by the managers. This study has been carried out in the Mellat Bank, meanwhile, the infrastructures for creating the BI has been identified and evaluated and subsequently, the findings has been discussed as well.

How to cite this paper
Khani, F., Mirzakhani, M & Hosseini, S. (2015). Analyzing the required infrastructures in creating the architecture of Business Intelligence in Mellat Bank.Uncertain Supply Chain Management, 3(2), 97-102.

Refrences
Farrokhi, V., & Pokoradi, L. (2012). The necessities for building a model to evaluate Business Intelligence projects-Literature Review. arXiv preprint arXiv:1205.1643.

Ghazanfari, M., Jafari, M., & Rouhani, S. (2011). A tool to evaluate the business intelligence of enterprise systems. Scientia Iranica, 18(6), 1579-1590.

Holsapple, C. W., & Sena, M. P. (2005). ERP plans and decision-support benefits. Decision Support Systems, 38(4), 575-590.

Holsapple, C. W., Whinston, A. B., Benamati, J. H., & Kearns, G. S. (1996).Decision support systems: A knowledge-based approach. St. Paul, MN: West Publishing Company.

Jourdan, Z., Rainer, R. K., & Marshall, T. E. (2008). Business Intelligence: An Analysis of the Literature. Information Systems Management, 25(2), 121-131.

Lauria, E. J., & Tayi, G. K. (2005). The Quest for Business Intelligence. In Erfolgsfaktor Innovation (pp. 321-333). Springer Berlin Heidelberg.

Nunnally, J. C., Bernstein, I. H., & Berge, J. M. T. (1967). Psychometric theory (Vol. 226). New York: McGraw-Hill.

Rouhani, S., Ghazanfari, M., & Jafari, M. (2012). Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS. Expert Systems with Applications, 39(3), 3764-3771.

Tutunea, M. F., & Rus, R. V. (2012). Business Intelligence Solutions for SME & apos; s. Procedia Economics and Finance, 3, 865-870.

Udo, G. J., & Guimaraes, T. (1994). Empirically assessing factors related to DSS benefits. European Journal of Information Systems, 3(3), 218-227.

Yan, S. L., Wang, Y., & Liu, J. C. (2012). Research on the comprehensive evaluation of business intelligence system based on BP neural network. Systems Engineering Procedia, 4, 275-281.
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Journal: Uncertain Supply Chain Management | Year: 2015 | Volume: 3 | Issue: 2 | Views: 1787 | Reviews: 0

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