Enhanced Business Intelligence using EROCS

被引：11

作者：

Bhide, M. ^{[1
]}

Chakravarthy, V. ^{[1
]}

Gupta, A. ^{[1
]}

Gupta, H. ^{[1
]}

Mohania, M. ^{[1
]}

Puniyani, K. ^{[2
]}

Roy, P. ^{[3
]}

Roy, S. ^{[1
]}

Sengar, V. ^{[4
]}

机构：

[1] IBM India, Res Lab, New Delhi 110070, India

[2] CMU, Language Technol Inst, Pittsburgh, PA 15213 USA

[3] Astron Data Syst, San Carlos, CA 94065 USA

[4] Microsoft Res, Bangalore 560080, Karnataka, India

来源：

2008 IEEE 24TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3 | 2008年

关键词：

D O I：

10.1109/ICDE.2008.4497635

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1616 / +

页数：2