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
Technologies
From a technological perspective, IS research clearly focuses on data analytics techniques (52 hits). Fourteen papers address data management aspects and seven research papers address the visual representation of large data sets. Solely two research works focus on data storage in a narrow sense. Akhbar et al. presents an approach that supports large central cloud systems and data center. Therewith, the authors address the shortcomings of current data warehouse architectures regarding the storage of IoT data. Pei et al. suggests a data architecture approach to store and analyze data from different sensing devices. They particularly discuss implementation technologies and focus on applying the Apache Hadoop framework.