Cloud BI : Future of business intelligence in the Cloud
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 14
- Type
- D - Journal article
- DOI
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10.1016/j.jcss.2014.06.013
- Title of journal
- Journal of Computer and System Sciences
- Article number
- -
- First page
- 85
- Volume
- 81
- Issue
- 1
- ISSN
- 0022-0000
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 16
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in the ERA2010 A* ranked Journal of Computing and System Sciences, this work presents a novel approach to use cloud computing architectures for Business Intelligence applications. The underlying OLAP mechanisms require rapid on-demand scalability and this research identifies a framework for evaluating high-volume business transaction architectures using multi-dimensional data streams which are extracted and analysed with BI techniques. This work was an early influencer in the migration of Business Intelligence architectures to cloud infrastructure and continues to be a significant source upon which other research is founded (evidenced by its wide citation base on ResearchGate):
https://www.researchgate.net/publication/263391131_Cloud_BI_Future_of_business_intelligence_in_the_Cloud"
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -