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
Link To Document :
بازگشت