Business operation intelligence

Fabio Casati, Umeshwar Dayal, Ming Chien Shan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In the last decade we have witnessed an increased trend towards automating all the interactions that a company has with its customers, suppliers, and employees. This trend is continuing even in the economic downturn, since automation not only allows for faster processing, but can also reduce costs and errors due to the diminished need for human involvement. Once a robust ebusiness infrastructure has been developed and deployed, companies quickly turn their attention to the problem of assessing and managing the quality of their e-business operations. This paper presents the concepts and architecture of a system that supports users in managing their infrastructure from a both a business (qualitative) and IT (quantitative) perspective. The platform also provides for the "intelligent" analysis of e-business operations as well as for making predictions over the quality of ongoing and future operations.

Original languageEnglish
Title of host publicationDatabases in Networked Information Systems - 2nd International Workshop, DNIS 2002, Proceedings
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783540362333
Publication statusPublished - 2002
Externally publishedYes
Event2nd International workshop on Databases in Networked Information Systems, DNIS 2002 - Aizu, Japan
Duration: 16 Dec 200218 Dec 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd International workshop on Databases in Networked Information Systems, DNIS 2002

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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