Toward uncertain business intelligence: The case of key indicators

Carlos Rodríguez, Florian Daniel, Fabio Casati, Cinzia Cappiello

Research output: Contribution to journalArticle

9 Citations (Scopus)

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 languageEnglish
Article number5445071
Pages (from-to)32-40
Number of pages9
JournalIEEE Internet Computing
Volume14
Issue number4
DOIs
Publication statusPublished - Jul 2010
Externally publishedYes

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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