The implication of business intelligence in risk management: a case study in agricultural insurance

Abstract The increasing data scales in today’s business sectors coupled with the necessity of risk management raise importance intelligence tools as an integrated solution for insurance industry. These have mostly been used to achieve effective management. Although methods industry proposed many years ago, research effort has primarily focused on predictive analyses. This study aimed investigate role a illustrate its potential particularly decision-makers agricultural insurance. We hypothesized that this would make preferable decision uncertain conditions. Sample from online transaction process system Iran fund were preprocessed SQL server. Multidimensional analytical processing architecture was analyzed using Targit tool. Our results identified financial risks lead framework controlling based fund.