The business intelligence value chain: data-driven decision support in a data warehouse environment: an exploratory study

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 deci...

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Bibliographic Details
Main Authors: Brohman, M.K., Parent, M., Pearce, M.R., Wade, M.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive systems
Data analysis
Data mining
Data warehouses
Information analysis
Information processing
Investments
Testing
Uncertainty
Online Access:Request full text
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Summary: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.
DOI:10.1109/HICSS.2000.926905