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.
Results
Analysis techniques
The majority of big data research works focus on optimization techniques (28 hits). According to our analysis, econometric, linguistic, and statistical techniques receive less attention in IS research. In total, 23 articles within the data sample do not address any analytical technique. They rather focus on conceptual or descriptive outcomes. Research results, applying econometric techniques focus e.g. on the evaluation of user behavior and the application of the conjoint analysis. Cezar and Raghunathan analyze the welfare of buyers and retailers depending on the availability of smartphone data such as GPS location and direction of movement. Research articles based on linguistic analysis techniques investigate decision support systems for knowledge mobilization and content analysis of social media platforms. Miah et al. additionally apply simulation techniques to predict the tourist behavior after analyzing social media content. Statistical techniques are applied e.g. for providing mobile analysis capabilities through the design of a generic, programmable position tracking platform, based on Bayesian networks.