Next generation business intelligence and analytics

  • Vo, Q.D.; 
  • Thomas, J.; 
  • Cho, S.; 
  • De, P.; 
  • Choi, B.J.
Citations

SCOPUS

6

초록

Business Intelligence and Analytics (BI&A) is the process of extracting and predicting business-critical insights from raw data. Traditional BI focused on data collection, extraction, and organization to enable efficient query processing to derive insights from historical data. With sources of data sources growing steadily, traditional BI&A are evolving to provide intelligence at different scales and perspectives: operational BI, situational BI, self-service BI. In this survey, we review the evolution of business intelligence systems from traditional settings. We focus on the changes in the back-end architecture that deals with the collection and organization of the data, as well as, the front-end applications, where analytics services and visualization are the core components. The survey provides a holistic view of Business Intelligence and Analytics for anyone interested to get a complete picture of the different pieces in the emerging next generation BI&A solutions. © 2018 Association for Computing Machinery.

키워드

Business Intelligence (BI); Heterogeneous data; Integrative data analysis; Operational BI; Self-service BI; Situational BI; Traditional BI; Data visualization; Information management; Surveys; Business intelligence systems; Core components; Data collection; Data-sources; Front end; Heterogeneous data; Historical data; Holistic view; Data mining
제목
Next generation business intelligence and analytics
저자
Vo, Q.D.; Thomas, J.; Cho, S.; De, P.; Choi, B.J.
DOI
10.1145/3278252.3278292
발행일
2018-09
유형
Conference Paper
저널명
ACM International Conference Proceeding Series
페이지
163 ~ 168