Frontiers of Business Intelligence and Analytics
To understand definitions regarding the taxonomy of BI, read this paper, where an example of the methodology in the research process is used. It also discusses how the taxonomy for BI and analysis was developed, how it is applied, and an analysis of the current status with predicted development for the next wave or 3.0 of BI, as well as potential gaps. A clear diagram of the taxonomy development process is shown in Figure 6. While a picture is worth a thousand words, sometimes you must explain complex processes narratively.
Taxonomy for BI & A 3.0 research
In a previous attempt to provide a concept matrix for covering big data research and particularly BI & A 3.0, Eggert suggests seven dimensions: BI & A 3.0 attributes, techniques, technology, research area, research method and evaluation, application area, and the handling of data privacy requirements. We applied that concept matrix for our sample set and found out that it has some weaknesses, making it not supportive for our purpose of a literature review. It has a high descriptive character but according to Nickerson et al., a taxonomy has to be explanatory rather than descriptive. Furthermore, the characteristics within one dimension should be disjunctive. Eggert supports this basic criteria partially but leaves room for improvement.