Abstract
Enterprises widely use decision support systems and, in particular, business intelligence techniques for monitoring and analyzing operations to understand areas in which the business isn't performing well. These tools often aren't suitable in scenarios involving Web-enabled, intercompany cooperation and IT outsourcing, however. The authors analyze how these scenarios impact information quality in business intelligence applications and lead to nontrivial research challenges. They describe the idea of uncertain events and key indicators and present a model to express and store uncertainty and a tool to compute and visualize uncertain key indicators.
| Original language | English |
|---|---|
| Article number | 5445071 |
| Pages (from-to) | 32-40 |
| Number of pages | 9 |
| Journal | IEEE Internet Computing |
| Volume | 14 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Jul 2010 |
| Externally published | Yes |
Keywords
- cooperative processes
- data quality
- possible worlds
- uncertain business intelligence
- uncertain key indicators
ASJC Scopus subject areas
- Computer Networks and Communications
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Cite this
Rodríguez, C., Daniel, F., Casati, F., & Cappiello, C. (2010). Toward uncertain business intelligence: The case of key indicators. IEEE Internet Computing, 14(4), 32-40. [5445071]. https://doi.org/10.1109/MIC.2010.59