Chen, Chiang and Storey  provide a framework that identifies the evolution, applications, and emerging research areas of Business Intelligence and Analytics (BI&A) in terms of their key characteristics and capabilities. This bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. It uses the Chen, Chiang and Storey  framework for academic publishing in business intelligence and analytics to see if it follows the same trend as Google search volume data. In addition, it explores what can google search terms and volume tell us. Google Trends is used as an online search data tool that allows the user to see how often specific keywords, subjects and phrases have been queried over a specific period of time. The results are displayed in a graph that Google calls a "Search Volume Index" graph. Data in the graph can be exported into a .csv file, which can be opened in Excel and imported into other statistical applications. This research-in-progress finds that Google searches may be indicative of particular attitudes or behaviors that would otherwise not be easy to measure, therefore keywords can give general insight into particular attitudes or behaviors.
Mattia, Angela; Gresham, George; and Jadav, Arpita, "Business Intelligence and Analytics: An Exploration of Academic Interest Compared to Google Search Volume" (2019). SAIS 2019 Proceedings. 35.