DOI: 10.4018/IJBIR.2016010103 Copyright © 2016, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. International Journal of Business Intelligence Research Volume 7 • Issue 1 • January-June 2016 A Success Assessment Model for BI Tools Implementation: An Empirical Study of Banking Industry Saeed Rouhani, University of Tehran, Tehran, Iran Sogol Rabiee Savoji, Mehralborz University, Tehran, Iran ABSTRACT In today’s rapidly-changing business environment, the need for useful business analytics is vital for organizations, not only to succeed, but also to survive. Traditional enterprise systems have disabilities to meet the expectations of organizational decision makers in the competitive area. In this regard, it is necessary to evaluate the success of BI tools in organizations, and there is a need to provide a model for this assessment. Hence, in this study, a model for assessing the success of business intelligence is presented by identifying and introducing the most important and effective factors in evaluating the success of BI tools. This study is an applied study in terms of purpose and a survey-descriptive, empirical study in terms of methodology. According to statistical methods, importance of the success factors was evaluated and the results show that 24 factors were identified consequential in research model based on four areas such as organizational memory, information integration, knowledge creation, and presentation. KEywoRdS Business Intelligence, Implementation, Success Assessment, Tools 1. INTRodUCTIoN A major issue in many firms was the integration of data and processes from these heterogeneous systems and organizational diversity applications. This lack of integration resulted in data congestion, poor data quality, inconsistent data definitions and formats, disjointed and poorly defined business processes, and poor information access due to a diversity of user interface designs, lack of knowledge and inadequate reports. The lack of integration hindered business process execution and effective decision making (Hawking & Sellitto, 2010). Business Intelligence (BI) solutions have made a top priority of IT executives in organizations who implemented these solutions for several years and the market for related software products continues growing rapidly (Ishikiriyama, Miro, & Gomes, 2015; Rouhani, Ashrafi, Zare, & Afshari, 2016; Wieder & Ossimitz, 2015). An early study by IDC (1996) found that companies that used BI effectively could achieve an average of 401 percent return on investment (ROI) over a three-year period. In a Cutter Consortium Report (2003) survey of 142 companies, it was found that 70 percent of the respondents had implemented data warehousing and BI initiatives (Herzum, 2003). Gartner (2009), a leading information technology research and advisory company, conducted a worldwide survey of 1,500 Chief Information Officers and identified the BI area as a number one technology priority. According to Gartner Inc., BI platforms allow companies to develop BI applications that offer three 25