Original Research
Business intelligence in the cloud
South African Journal of Information Management | Vol 12, No 1 | a445 |
DOI: https://doi.org/10.4102/sajim.v12i1.445
| © 2010 Willem J.J. Thompson, Jakobus S. van der Walt
| This work is licensed under CC Attribution 4.0
Submitted: 21 July 2010 | Published: 07 December 2010
Submitted: 21 July 2010 | Published: 07 December 2010
About the author(s)
Willem J.J. Thompson, Tswhane University of Technology, South AfricaJakobus S. van der Walt, Tswhane University of Technology, South Africa
Abstract
Cloud computing has become an important topic to research because of the value it can provide to the business. In this article, the researcher examined how Business Intelligence (BI) can be offered to the business over the Internet as a solution. BI environments, however, require a large capital layout to implement and support the large volumes of data that needs to be analysed to identify trends. It also requires enormous processing power which places pressure on the business resources. The goal of this article is to show how BI will be offered as a Software as a Service (SaaS) solution to the business. The BI SaaS solution will allow companies to reduce cost of having a BI solution and also having access to the latest software which will give the business an edge on their competition. By making use of a literature review the researcher were able gather and present evidence to support the value that the BI SaaS solution will add to the business and how such a BI SaaS solution will look like. As part of this research paper the researcher will also identify the challenges that the business will face when making us a BI SaaS solution.
Keywords
Business intelligence; BI; cloud computing; software as a service; SaaS
Metrics
Total abstract views: 10195Total article views: 24430
Crossref Citations
1. Analysis of a Business Intelligence process based on Lean Office principles
Fabiane Letícia Lizarelli, Luiza Franco Tonissi, José Carlos Toledo
Revista Gestão da Produção Operações e Sistemas vol: 16 issue: 1 year: 2021
doi: 10.15675/gepros.v16i1.2545