While Business Intelligence (BI) has played a critical role in improving performance and creating competitive advantages, many organizations struggle to fully deliver the benefits of BI in terms of addressing exact business objectives. Therefore, practitioners and researchers focus on developing the BI maturity models that help in defining the level of maturity of BI inside an organization to achieve better business value in the BI area by know what the current maturity level of BI is, and what requirements should be fulfilled in future to move to the next level of maturity.However, many BI maturity models have not yet addressed the information manage-ment perspective of BI, while critical information management issues, such as big data and monitoring market change, are considered to be the main challenges for many organizations nowadays. The research thesis has addressed the gap by extending the IMP model to the subject of BI, and makes an important contribution to the management information system field by refocusing BI maturity towards information management issues and construct new BI maturity model.In addition, due to the complexity of this type of research, many phases or stages, whether from quantitative or qualitative approaches, are needed for maturity model development. However, the philosophical position of critical realism together with a mixed method approach forms the methodological approach for this research. This has been applied in four stages, by combining the strengths of a quantitative study to identify the significant differences or relationships between variables, with a qualitative study to explain and expand the result.Moreover, the results of the research have practice and academic implications. With respect to academia, the results of the research introduce new perspectives of BI maturity that are critical for successful BI implementation, and make an important contribution to the information management and BI communities by showing the perfect reliability of the model and confirming that sensing, collecting, organizing, processing and maintaining are valid dimensions for BI assessment. Also, the research provides practitioners with a BI maturity model that can assess the capabilities inside the organization to understand where extra support and resources should be directed, in order to increase the probability of successful BI systems.