Evaluating the Business Intelligence Systems Performance Criteria Using Group Fuzzy AHP Approach

K. Rezaie, A. Ansarinejad, A. Haeri, Amin Nazari Shirkouhi, S. N. Shirkouhi
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引用次数: 10

Abstract

Organizations must make good use of information system tools such as business intelligence (BI) systems to quickly acquire desirable information from huge volume of data to reduce the time and increase the efficiency of decision-making procedure. Despite the huge operational and managerial advantages of BI systems, many companies face problems in the completely utilization of these tools, therefore, to reduce risk of failure in utilization and also to measure the amount of realized benefits of BI tool defining and choosing the most proper performance measurement criteria and technique is an important issue. In this paper a practical framework based on appropriate criteria and Fuzzy Analytical Hierarchy Process technique is presented to performance evaluation of BI Systems. Result shows that a " Fitness" criterion is the most important criteria in the performance evaluation of BI System.
用群模糊层次分析法评价商业智能系统的性能标准
组织必须充分利用商业智能(BI)系统等信息系统工具,从海量数据中快速获取所需信息,以减少决策过程的时间,提高决策过程的效率。尽管BI系统具有巨大的运营和管理优势,但许多公司在充分利用这些工具时面临问题,因此,为了降低使用失败的风险,并衡量BI工具实现的收益,定义和选择最合适的绩效衡量标准和技术是一个重要问题。本文提出了一个基于适当准则和模糊层次分析法的商业智能系统性能评价实用框架。结果表明,“适应度”标准是BI系统性能评价中最重要的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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