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Using the SSAV model to evaluate Business Intelligence Software
Halmstad University, School of Business and Engineering (SET), Centre for Innovation, Entrepreneurship and Learning Research (CIEL), Centre for International Marketing and Entrepreneurship Research (CIMER).ORCID iD: 0000-0002-2427-3148
Radboud University Nijmegen, Netherlands.
2012 (English)In: Journal of Intelligence Studies in Business, ISSN 2001-015X, Vol. 2, no 3, 29-40 p.Article in journal (Refereed) Published
Abstract [en]

 Choosing the right Business Intelligence (BI) software is critical to increasing productivity and effectiveness in organizations today. At the same time it is a very elaborating and complex process to choose the right software due to the fact that a large number of BI products exist on the market, which are quite different and updated frequently. The objective of this study is to develop and test a model for the evaluation of BI Software. The findings of the study revealed that it is difficult to declare what is the most competitive BI software as what is good for one user might not be good for another depending on their different business needs. Having said that the study initiated a new classification of BI Software vendors depending on the degree to which they comply with the functions in the Competitive Intelligence (CI) cycle. The software tested was divided into five categories: Fully complete, Complete, Semi Complete, Incomplete and Insubstantial. We conclude that the SSAV (Solberg Søilen, Amara, Vriens) Model Together with some proposed non technological variables and a classification developed can be used as a user's selection tool for deciding which BI Software to purchase.

Place, publisher, year, edition, pages
Halmstad: Högskolan i Halmstad , 2012. Vol. 2, no 3, 29-40 p.
Keyword [en]
Business Intelligence, Software evaluation, Competitive Intelligence, SSAV model
National Category
Economics and Business
URN: urn:nbn:se:hh:diva-25202OAI: diva2:714893
Available from: 2014-04-29 Created: 2014-04-29 Last updated: 2014-11-24Bibliographically approved

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