Guest Editors’ Introduction-PAJAIS special issue on Business Intelligence and Analytics Research

Citation data:

Vol: 6, Issue: 4

Publication Year:
2014
Usage 165
Abstract Views 85
Downloads 80
Repository URL:
http://aisel.aisnet.org/pajais/vol6/iss4/5
Author(s):
Chiang, Roger H.L.; Shan, Zhe (Jay); Wang, Harry Jiannan
editorial description
Business intelligence and analytics (BI&A) have been studied increasingly in the past 10 years by almost every business discipline. BI&A provide historical, current, and predictive views of business operations based on advanced data collection, extraction, integration, and analysis of large data sets to improve decision making. Web 2.0 has created an abundance of user-generated content (UGC) from online social media such as forums, online groups, web blogs, social networking sites, social multimedia sites, and even virtual worlds. “Big Data” and “Big Data Analytics” have been used to describe the data sets and analytical techniques in applications that are so large (from terabytes to exabytes) and complex (from sensor to unstructured social media data) that they require advanced and unique data storage, management, analysis, and visualization technologies.