Next generation business intelligence and analytics
- Authors
- Vo, Q.D.; Thomas, J.; Cho, S.; De, P.; Choi, B.J.
- Issue Date
- Sep-2018
- Publisher
- Association for Computing Machinery
- Keywords
- Business Intelligence (BI); Heterogeneous data; Integrative data analysis; Operational BI; Self-service BI; Situational BI; Traditional BI
- Citation
- ACM International Conference Proceeding Series, pp.163 - 168
- Journal Title
- ACM International Conference Proceeding Series
- Start Page
- 163
- End Page
- 168
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/39173
- DOI
- 10.1145/3278252.3278292
- ISSN
- 0000-0000
- Abstract
- 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.
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