An evaluation of Business Intelligence Software systems in SMEs – a case study
DOI:
https://doi.org/10.37380/jisib.v2i2.41Keywords:
business intelligence, software systems, business analysis, decision supportAbstract
This article proposes a simple model for evaluating the performance of Business Intelligence software systems based on what companies themselves find to be most important; efficiency, user friendliness, overall satisfaction, price and adaptability. Companies want to know the different systems used, why they are used and how effective they are for different tasks. They are also concerned about the systems’ compatibilities. The study builds on a deep interview with eight Swedish SMEs. The results show what terms are used by users, how they have solved their information needs and what problems arise in each company. It also shows that the decisions about what system to use are related to the experience specific individuals have had in other companies.
References
Cepeda G., Martin D. (2005). Guides and criteria for achieving quality in qualitative research. Management Decision, 851-876. DOI: https://doi.org/10.1108/00251740510603600
Elbashir, M. Z., Collier, P. A., & Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135-153.
Ghazanfari M., Jafari M. & Rouhani S. (2011). A tool to evaluate the business intelligence of enterprise systems. Scientia Iranica, Transactions E: Industrial Engineering, 1-11. DOI: https://doi.org/10.1016/j.scient.2011.11.011
Gincel, R. (2005). Trickle-Down: Business Intelligence. InfoWorld, 27(17), 47-50. DOI: https://doi.org/10.1201/9780849387913-3
Greengard, S. (1999). Mine your corporate data with business intelligence. Workforce Management, 78(1), 103-104.
Hannula, M., & Pirttimaki, V. (2003). Business intelligence empirical study on the top 50 Finnish companies. Journal of American Academy of Business, Cambridge , 2(2), 593-599.
Karim, A. J. (2011). The Value Of Competitive Business Intelligence System (Cbis) To Stimulate Competitiveness In Global Market. International Journal of Business and Social Science, 2(19), 1-9.
Klein, G. (1999). User perception of expert system advice. The Journal of Systems and Software, 48(2), 155-161. DOI: https://doi.org/10.1016/S0164-1212(99)00053-9
Klepic, Z. (2004). The influence of business intelligence on the business success of medium and large companies. An Enterprise Odyssey. International Conference Proceedings, 705-720.
Lönnqvist, A., & Pirttimäki, V. (2006). The Measurement of Business Intelligence. Information Systems Management, 23(1), 32-40. DOI: https://doi.org/10.1201/1078.10580530/45769.23.1.20061201/91770.4
Mikroyannidis, A., & Theodoulidis, B. (2010). Ontology management and evolution for business intelligence. International Journal of Information Management, 30(6), 559-566. DOI: https://doi.org/10.1016/j.ijinfomgt.2009.10.002
Mohamed Z. E., Philip A. C. & Michael J. D. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 135–153. DOI: https://doi.org/10.1016/j.accinf.2008.03.001
Onwuegbuzie A. J., Johnson R. B. & Collins K. M. T. (2009). Call for mixed analysis: A philosophical framework for combining qualitative and quantitative approaches. International Journal of Multiple Research Approaches, 114-139. DOI: https://doi.org/10.5172/mra.3.2.114
Sabanovic, Adis, Solberg Søilen, K. (2012). Customers’ Expectations and Needs in the Business Intelligence Software Market. Journal of Intelligence Studies in Business, Vol 2, No 1, pp. 5-20 DOI: https://doi.org/10.37380/jisib.v2i1.27
Xu, M., Ong, V., Duan, Y., & Mathews, B. (2011). Intelligent agent systems for executive information scanning, filtering and interpretation: Perceptions and challenges. Information Processing & Management, 47(2), 186-201. DOI: https://doi.org/10.1016/j.ipm.2010.07.001
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