Data warehousing is a topic of great interest in the business community, due to increasing business intelligence demands, coupled with increased data availability and processing capability. Despite large financial backing of data warehousing implementations, many fail. Little research has been conducted pertaining to data warehousing success. Traditional system success models (DeLone and McLean...

The data warehousing field has matured significantly over the past twenty years and data warehouses, which provide the foundation for business intelligence, have become ingrained in corporate America and throughout the scientific community. Data warehousing courses are beginning to emerge in academe, but universities must do more to prepare students for exciting career opportunities not only as...

Most work on data warehousing is dominated by architectural and data modeling issues. Although often key to the success of data warehousing projects, organizational issues are rarely covered. Based on project experiences in several large service companies, organizational requirements for data warehousing are derived. As a foundation for the development of organizational structures and organizat...

Data warehousing is an important area of practice and research, yet few studies have assessed its practices in general and critical success factors in particular. Although plenty of guidelines for implementation exist, few have been subjected to empirical testing. In order to better understand implementation factors and their effect on data warehousing success, perceptions of data warehousing p...