DocumentCode
3325600
Title
Enhanced Business Intelligence using EROCS
Author
Bhide, M. ; Chakravarthy, V. ; Gupta, A. ; Gupta, H. ; Mohania, M. ; Puniyani, K. ; Roy, P. ; Roy, S. ; Sengar, V.
Author_Institution
lBM India Res. Lab., New Delhi
fYear
2008
fDate
7-12 April 2008
Firstpage
1616
Lastpage
1619
Abstract
The EROCS technology automatically links unstructured data with relevant structured data from an external relational database. We demonstrate how EROCS can be used for enhancing business intelligence by allowing OLAP tools to analyze structured and unstructured data in a consolidated manner. Our demonstration showcases the use of EROCS in exploiting latent information in customer emails, which helps in building a complete view of the customer. This results in new insights about the business which are not possible with the existing state of the art.
Keywords
competitive intelligence; relational databases; EROCS technology; business intelligence; external relational database; relevant structured data; Buildings; Data mining; Data systems; Deductive databases; Information analysis; Intelligent structures; Joining processes; Knowledge management; Relational databases; Synthetic aperture sonar;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on
Conference_Location
Cancun
Print_ISBN
978-1-4244-1836-7
Electronic_ISBN
978-1-4244-1837-4
Type
conf
DOI
10.1109/ICDE.2008.4497635
Filename
4497635
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