  The rise of information technology has transformed the business landscape,
with organizations increasingly relying on information systems to collect and
store vast amounts of data. To stay competitive, businesses must harness this
data to make informed decisions that optimize their actions in response to the
market. Business intelligence (BI) is an approach that enables organizations to
leverage data-driven insights for better decision-making, but implementing BI
comes with its own set of challenges. Accordingly, understanding the key
factors that contribute to successful implementation is crucial.
  This study examines the factors affecting the implementation of BI projects
by analyzing the interactions between these factors using system dynamics
modeling. The research draws on interviews with five BI experts and a review of
the background literature to identify effective implementation strategies.
Specifically, the study compares traditional and self-service implementation
approaches and simulates their respective impacts on organizational acceptance
of BI. The results show that the two approaches were equally effective in
generating organizational acceptance until the twenty-fifth month of
implementation, after which the self-service strategy generated significantly
higher levels of acceptance than the traditional strategy. In fact, after 60
months, the self-service approach was associated with a 30% increase in
organizational acceptance over the traditional approach. The paper also
provides recommendations for increasing the acceptance of BI in both
implementation strategies. Overall, this study underscores the importance of
identifying and addressing key factors that impact BI implementation success,
offering practical guidance to organizations seeking to leverage the power of
BI in today's competitive business environment.
