Business Intelligence (BI) system evolution: a case in a healthcare institution
| Autor: | Frada Burstein, Rob Meredith, Ehsanur Rahman Safwan |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Decision support system
Knowledge management business.industry Computer science 05 social sciences 02 engineering and technology Library and Information Sciences Affect (psychology) Data warehouse Management Information Systems 020204 information systems 0502 economics and business Health care Institution (computer science) Business intelligence 0202 electrical engineering electronic engineering information engineering 050211 marketing business |
| Zdroj: | Journal of Decision Systems. 25:463-475 |
| ISSN: | 2116-7052 1246-0125 |
| DOI: | 10.1080/12460125.2016.1187384 |
| Popis: | Business Intelligence (BI) systems are an important part of many organisations’ IT portfolios. While the evolutionary nature of other kinds of decision support technology has been noted, there is little research investigating the evolutionary nature of BI systems. This paper presents a case study of a BI system development in a large Australian healthcare institution and uses evolutionary theories from decision support systems (DSS) to understand the system evolution observed. The paper concludes that the theories describing evolution in DSS can also be effectively applied to BI as well. BI practitioners and developers should be aware of evolutionary triggers, as well as the different kinds of evolution that can affect BI system evolution. |
| Databáze: | OpenAIRE |
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