Many organizations today have adopted business intelligence (BI) as a catalyst to meet specific \r\nbusiness needs and to improve organizational effectiveness. Although BI has become more \r\nrobust and pervasive, some organizations are still unable to maximize the return on their BI \r\ninvestments. One contributing reason is the lack of a good guiding BI architecture to support \r\nthe implementation of such a system. Having a solid architecture can help organizations to \r\nbetter control the implementation process as well as the operation of the entire BI \r\nenvironment. A review of the existing literature shows that although the importance of a good \r\nBI architecture is non-arguable, research in this area is still lacking. To fill the gap, this paper \r\nproposes a framework of BI architecture which consists of five layers: data source, ETL, data \r\nwarehouse, end user, and metadata layers. These five layers are essential to ensure high data \r\nquality and smooth information flow in a BI system.
Loading....