Research on Using FANP to Establish a Performance Assessment Model for Business Intelligence Systems

In today’s fast expanding business climate, the need for useful business information seems to be vital not only for achieving success but also for the survival of an organization.
Considering the failure of management information systems (MIS) in satisfying the requirements of organizational decision makers on the competition issues during recent years, the art-like technologies such as business intelligence have become one of the major concepts of management information systems, and by mixing with the culture of advanced organizations, are playing an important role at the frontline of information technology for supporting management decision making.
In this article an attempt has been made, with the identification and introduction of the most important factors and parameters affecting the performance of a business intelligence system, to present a model for the measurement of a business intelligence performance (within the framework of a case study in a software production organization ).
Taking into consideration the lack of independence and the existence of the relationship between effective factors, the method of Fuzzy Analytic Network Process was used for identifying the possible relationship between the factors as well as measuring them for the development of an evaluating model.
In the conclusion, the results gained have been compared with the methods of Fuzzy Analytic Hierarchy Process and Non-Fuzzy Analytic Network Process.