Anjariny, Ahmed H. and Zeki, Akram M. and Hussin, Husnayati (2012) Assessing organizations readiness toward business intelligence systems: a proposed hypothesized model. In: International Conference on Advanced Computer Science Applications and Technologies , 26-28 Nov 2012, The Palace of Golden Horses- KL.
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Abstract
Nowadays, the concept of Business Intelligence (BI) is being implemented within many organizations around the globe. Organizations invest billions of US dollars aiming to improve their timeliness and quality of the input to the decision process, where BI is the targeted keyword. However, organizations are often faced with many challenges in achieving the expected outcomes of BI systems within their firms. Here, one of the most cumbersome obstacles is the organizations’ readiness toward BI systems. Therefore, it is highly justified to assess organization’s readiness toward BI systems to avoid any loss and to enhance the overall revenue. This paper presents a brief history on BI systems and the challenges of their implementation within organizations. A review and analysis of models for assessing organizations’ readiness toward BI systems is established to understand their weakness and strength points. Finally, this paper proposes a hypothesized framework for solving readiness assessment issues within organizations which will be evaluated in the coming studies.
Item Type: | Conference or Workshop Item (Full Paper) |
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Additional Information: | 6153/30810 --- Print ISBN: 978-1-4673-5832-3 |
Subjects: | T Technology > T Technology (General) > T175 Industrial research. Research and development |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System |
Depositing User: | Akram M Zeki |
Date Deposited: | 28 Aug 2013 09:59 |
Last Modified: | 08 Dec 2014 11:51 |
URI: | http://irep.iium.edu.my/id/eprint/30810 |
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