Factors Influencing the Successful Implementation of BIS

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2018 by IJETT Journal
Volume-60 Number-2
Year of Publication : 2018
Authors : Abdel Nasser H. Zaied, Mohamed O. Grida, Gawaher Soliman Hussein
  10.14445/22315381/IJETT-V60P214

MLA 

Abdel Nasser H. Zaied, Mohamed O. Grida, Gawaher Soliman Husseine "Factors Influencing the Successful Implementation of BIS", International Journal of Engineering Trends and Technology (IJETT), V60(2),102-108 June 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Business intelligence systems (BIS) are an important component of modern organization’s information infrastructure. They enable organizations to understand business environment, recognize opportunities, help decision makers to make better decision, and improve organizational performance. To implement a BI project successfully and to gain the associated benefits, BIS stakeholders need to understand the critical success factors (CSFs). As CSFs support them to optimize their resources and efforts through focusing on those significant factors that support the successful implementation. In this research, a critical success framework for BIS implementation was proposed. The framework gathered critical success factors and divided them into Organization, Technology, Environment and Process categories.Questionnaire was used to collect data and SPSS program was used to analysis the collected data. The results show that there is a strong positive relationship between CSFs and successful implementation of BIS (R=0.818). Also, all the CSFs except complexity have a positive significant relationship with successful implementation at 1% and 5% level of significant. Finally, results show that the CSFs have positive significant effect on organization's performance.

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Keywords
Business Intelligence Systems (BIS); Critical Success Factors (CSF); Organization's Performance (OP); Business Intelligence Implementation (BII); Business Intelligence Model (BIM).