Hantering av viktiga framgångsfaktorer vid utveckling av ett Data Warehouse
Business Intelligence may help organizations in making the right decisions byproviding data for analysis which can be presented to decision makers. DataWarehouse which is a central part of Business Intelligence can be built in severalways but the methods presented by Ralph Kimball and Bill Inmons are considered thetwo main methods. The solution provided by Inmon focuses on integrating the entirebusiness into one large database using relational database development. Kimballhowever proposes dimensional database modeling by creating one or more data martsand integrating these using a data bus. Previous research has shown that the quality ofa Data Warehouse can be measured through critical factors such as data quality andsystem quality. In this study we examine how the methods presented by Inmon andKimball handle these critical factors. The study also examines how organizationalfactors are affected by the chosen method. These factors have been identified througha focus group comprised of representatives from WM-Data.