Business Intelligence Maturity Models: Information Management Perspective

Abstract

While Business Intelligence (BI) plays a critical role for businesses in terms of organizational development and creating competitive advantages, many BI projects fail to fully deliver the features and benefits that could help organizations in their decision-making. Rather than depending on software, BI success relies on the capabilities of sensing for appropriate information, data collection, extraction, organization, analysis, and retention of information due to the large volume of information that exists. Therefore, this paper presents a comprehensive review of existing BI maturity models and elaborates their methodical and conceptual characteristics to determine their gaps in addressing the information life-cycle concept in terms of sensing, collecting, organizing, processing, and maintaining activities. As a result, a conceptual framework is proposed from the literature analysis. The intentions are to build a BI maturity model that can be used to increase the success of BI implementation by basing it on Information Management Practice (IMP), which a model built on the information life-cycle concept. © Springer-Verlag Berlin Heidelberg 2013.