This article firstly tries to identify the various dimensions of successful implementation and development business intelligence as a set of technologies and processes that promote the procedure of the decision-making in the organization. Next, the effect of these dimen
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This article firstly tries to identify the various dimensions of successful implementation and development business intelligence as a set of technologies and processes that promote the procedure of the decision-making in the organization. Next, the effect of these dimensions on the process of decision-making in Eghtesad-e-Novin Bank, as a financial organization in which the speed of decision-making is of importance will be discussed.
The criteria are the cultural, strategic and environmental factors, human resources and business intelligence tools the effects of which are discussed on the variable of "the latency in decision- making" in four divisions of organizational decision environment.
The research methodology is mixed in this research and for this purpose in the qualitative part, the different dimensions of success in implementation and development business intelligence were extracted on the quality of decision-making with the Delphi technique by using the method of interviews and open questions in three stages and with the snowball method with the opinions of 18 experts. In the quantitative part, the priorities were determined with the help of the Analysis Network Process and Super Decision software. Finally, the main questionnaire has been finalized for the distribution among 90 personnel of different levels of the development and implement of business intelligence systems and the direct users of these systems in the organization. With the help of Smart Plus software and structural equations, as well as the effect of research variables on the reduction in the latency in decision-making, the relevant assumptions have been examined in a descriptive and survey manner with factor analysis. The proposed factors and models for evaluating business intelligence presented in this article help organizations, especially financial organizations in which speed in decision-making is of particular importance, to promote decision-making and minimize possible latencies in decision-making.
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