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 |
Fingerprint
Keywords
- cooperative processes
- data quality
- possible worlds
- uncertain business intelligence
- uncertain key indicators
ASJC Scopus subject areas
- Computer Networks and Communications
Cite this
Toward uncertain business intelligence : The case of key indicators. / Rodríguez, Carlos; Daniel, Florian; Casati, Fabio; Cappiello, Cinzia.
In: IEEE Internet Computing, Vol. 14, No. 4, 5445071, 07.2010, p. 32-40.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Toward uncertain business intelligence
T2 - The case of key indicators
AU - Rodríguez, Carlos
AU - Daniel, Florian
AU - Casati, Fabio
AU - Cappiello, Cinzia
PY - 2010/7
Y1 - 2010/7
N2 - 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.
AB - 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.
KW - cooperative processes
KW - data quality
KW - possible worlds
KW - uncertain business intelligence
KW - uncertain key indicators
UR - http://www.scopus.com/inward/record.url?scp=77954342321&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954342321&partnerID=8YFLogxK
U2 - 10.1109/MIC.2010.59
DO - 10.1109/MIC.2010.59
M3 - Article
VL - 14
SP - 32
EP - 40
JO - IEEE Internet Computing
JF - IEEE Internet Computing
SN - 1089-7801
IS - 4
M1 - 5445071
ER -