Hantering av viktiga framgångsfaktorer vid utveckling av ett Data Warehouse

Abstract

Business Intelligence may help organizations in making the right decisions by providing data for analysis which can be presented to decision makers. Data Warehouse which is a central part of Business Intelligence can be built in several ways but the methods presented by Ralph Kimball and Bill Inmons are considered the two main methods. The solution provided by Inmon focuses on integrating the entire business into one large database using relational database development. Kimball however proposes dimensional database modeling by creating one or more data marts and integrating these using a data bus. Previous research has shown that the quality of a Data Warehouse can be measured through critical factors such as data quality and system quality. In this study we examine how the methods presented by Inmon and Kimball handle these critical factors. The study also examines how organizational factors are affected by the chosen method. These factors have been identified through a focus group comprised of representatives from WM-Data.