2014•Pacific Asia journal of the Association for Information SystemsRequires access

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

Roger H.L. Chiang, Zhe Shan, Harry Jiannan Wang

Open publisher page 1 citations

Abstract

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

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.

Key concepts: Business intelligence, Big data, Computer science, Social media analytics, Data science, Terabyte, Business analytics, Social media

Related papers

Back to paper searchBrowse research topicsOriginal source
Guest Editors’ Introduction-PAJAIS special issue on Business Intelligence and Analytics Research — Research Paper | ScholarLens