Salah Rezaie; Seyed Javadi Mirabedin; Ataollah Abtahi
Abstract
Although many organizations have embraced the deployment and use of business intelligence systems, not all have been successful in implementing such systems. The present study has reviewed the factors affecting the effective implementation process of such systems in Iran Banking Industry. This research ...
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Although many organizations have embraced the deployment and use of business intelligence systems, not all have been successful in implementing such systems. The present study has reviewed the factors affecting the effective implementation process of such systems in Iran Banking Industry. This research is an applied research in terms of purpose and a survey study in terms of implementation strategy. Also, based on the research design the present study is a descriptive study and data was collected through documentary and field studies. Statistical population of this study comprises experts and professionals in information technology who are active in implementing solutions of business intelligence in Iran Banking Industry. In this research, a comprehensive literature review has been conducted and the result was a framework for the factors affecting the implementation of business intelligence and business intelligence effectiveness criteria. Then, using this basic framework and obtaining opinions of experts by fuzzy Delphi technique approach, key factors affecting the process of implementing business intelligence and important criteria of business intelligence effectiveness in the banking industry have been identified and, finally, a model for effective implementation of business intelligence was provided. In the next step, the model was validated by confirmatory factor analysis and statistical tests. Based on the results of the research, the dimensions of the effective implementation model of business intelligence in Iran banking industry include 10 dimensions: organizational, human, data quality, environment, system capability, strategy, service quality, technical and managerial infrastructure, and the effectiveness of business intelligencev
SaeedRouhan Rouhani; AhadZare Ravasan
Volume 1, Issue 2 , December 2013, , Pages 105-121
Abstract
Most organizations still experience a lack of Business Intelligence (BI) in their decision making processes when implementing enterprise systems, such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Supply Chain Management (SCM). Consequently, a model and techniques ...
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Most organizations still experience a lack of Business Intelligence (BI) in their decision making processes when implementing enterprise systems, such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Supply Chain Management (SCM). Consequently, a model and techniques to evaluate and assess the intelligence-level of enterprise systems can improve decision support. This paper proposes an expert tool to evaluate the BI competencies of enterprise systems, and combines a comprehensive review of recent literature with statistical methods for factor analysis. A statistical analysis has identified six factors for the evaluation model: ‘‘Analytical and Intelligent Decision-support’’, ‘‘Providing Related Experimentation and Integration with Environmental Information’’, ‘‘Optimization and Recommended Model’’, ‘‘Reasoning’’, ‘‘Enhanced Decision-making Tools’’, and finally, ‘‘Stakeholder Satisfaction’’. Enterprises can use this approach to evaluate, select, and buy software and systems that provide better decision support for their organizational environment, enabling them to achieve competitive advantage.
