DocumentCode :
2352576
Title :
Analytical Pathway Methodology: Simplifying Business Intelligence Consulting
Author :
Proctor, Larry ; Kieliszewski, Cheryl A. ; Hochstein, Axel ; Spangler, Scott
Author_Institution :
IBM Res. - Almaden, San Jose, CA, USA
fYear :
2011
fDate :
March 29 2011-April 2 2011
Firstpage :
495
Lastpage :
500
Abstract :
The implementation and use of advanced analytics to identify patterns and discover the non-obvious from structured and unstructured data sources to improve business performance or establish a competitive advantage is becoming more commonplace in enterprises. Delivering complex advanced analytical systems to mine unstructured data sources requires a complex decision-making process by the business analytics user to perform an analysis. In general, analytics is a process that often times requires continual iteration of the content sources(s) to locate, examine and interpret information to address an issue or hypothesis. This problem led us to explore a method to communicate, and eventually automate, an analytical pathway to be implemented with an analytical services system. In this paper we describe some of the challenges in the use of complex advanced analytics for business intelligence, an initial breakdown of the process and an approach to bringing repeatability to the analysis process.
Keywords :
competitive intelligence; data mining; decision making; analytical pathway methodology; business intelligence consulting; business performance; complex decision making process; enterprises; unstructured data source mining; Analytical models; Barium; Companies; Context; Data mining; Decision support systems; analytic operations; data mining; decision-making; text analytics; unstrucutred data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SRII Global Conference (SRII), 2011 Annual
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-61284-415-2
Electronic_ISBN :
978-0-7695-4371-0
Type :
conf
DOI :
10.1109/SRII.2011.57
Filename :
5958125
Link To Document :
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