Title :
The business intelligence value chain: data-driven decision support in a data warehouse environment: an exploratory study
Author :
Brohman, M. Kathryn ; Parent, Michael ; Pearce, Michael R. ; Wade, Michael
Author_Institution :
Terry Coll. of Bus., Georgia Univ., Athens, GA, USA
Abstract :
The recent introduction of a spate of data access applications, such as CLAP and data mining tools, has led to an increased interest on the part of both scholars and practitioners on how best to use and benefit from these tools. This paper reports on six exploratory case studies involving eight decision-makers and seven end-users. A process model based on the Value Chain is proposed and explained. Results show that database usage and information processing practices have indeed grown more sophisticated. Implications for practice and future research aimed at testing the Value Chain model are proposed.
Keywords :
data mining; data warehouses; decision support systems; Value Chain; business intelligence value chain; data mining; data warehouse; data-driven decision support; database usage; process model; Adaptive systems; Data analysis; Data mining; Data warehouses; Databases; Information analysis; Information processing; Investments; Testing; Uncertainty;
Conference_Titel :
System Sciences, 2000. Proceedings of the 33rd Annual Hawaii International Conference on
Print_ISBN :
0-7695-0493-0
DOI :
10.1109/HICSS.2000.926905