The purpose of this study has been to examine how mature eight Swedish companies are in regards of IT- and agile maturity. Furthermore, how they can improve upon their IT- and agile maturity. The research objects of this study has been eight different organizations who all hired the same IT-consultancy. Information has been gathered through semi-structured interviews with respondents from each organization. The interviews were built upon a theoretical framework consisting of Ragowsky et al. (2012) IT-maturity model and Sidky et al. (2007) Agile Measurement Index (SAMI). We have attempted to combine the models into a matrix model that takes both types of maturity into account. The results have shown a greater level of IT-maturity than expected. Agile maturity on the other hand have been a contributing factor to failures in some of the projects. Although we have found that being mature in only one of the factors has been unusual. In conclusion, the organizations in our sample have shown high IT-maturity so the next challenge for Swedish organizations seems to be to acquire greater agile maturity.

Fast evolving digital technologies lead to a rapidly changing environment where decisions have to be made in a short time. The promised solution is data-driven decision making and business intelligence. However, business intelligence has until now only been available to executives and managers whereas many of the workers' wishes for their own business analytics could not be fulfilled. The concept of self-service business intelligence (SSBI) opens the gates to democratized business intelligence for everybody. Yet the implementation of SSBI tools is proving to be extremely difficult and has led to the consequence that many SSBI projects remain unsuccessful. This thesis therefore examines the influence of self-service business intelligence on organizational structures and business processes. Furthermore, assumptions made by contemporary industry studies and best practice reports are evaluated. The case study of the Power BI implementation project at a German medical and safety technology manufacturer successfully identifies real-life challenges. Moreover, the thesis stresses the importance of data governance and data infrastructures in the context of SSBI.