The Impact of Business Intelligence System Maturity on Information Quality

Introduction. We propose and test a model of the relationship between business intelligence systems and information quality and investigate in more detail the potential differential impact of business intelligence systems' maturity on two aspects of information quality: the quality of content and media quality. Method. The research was conducted in spring 2008. Empirical data were collected through a survey of Slovenian medium and large organizations. Analysis. A quantitative analysis was carried out on data relating to 181 organizations. A data analysis was conducted using structural equation modelling. Results. The implementation of a business intelligence system positively affects both aspects of information quality as conceptualised in our model. However, the effect and explanatory power (as measured by the determination coeficient) of business intelligence systems' maturity is greater on media quality than on content quality. Conclusions. Since most of the information quality problems in knowledge-intensive activities relate to content quality, it is reasonable to expect that the implementation of business intelligence systems would adequately address these problems. However, the effects of implementing such systems seem to be more focused on media quality outcomes. Based on our findings we suggest that projects implementing business intelligence systems need to focus more on ensuring content quality