By classifying business intelligence appropriately, we allow ourselves to spot opportunities for investment and exploitation, increasing our ability to turn the data and insight we collect into profit. Business intelligence and its research can be
divided into a taxonomy. This paper breaks that down. Even without data, are there areas that may contain similar opportunities?
1. Introduction and Motivation
1.4. Literature Search Methodology
To ensure that we include a complete collection of the literature, we employed a methodical approach to the literature search. Firstly, we identified keywords and phrases that encompass the field of business visualisation, e.g., "Business", "customer",
"market", "visualisation", "visual analysis", "economic", "ecosystem", "intelligence", and "finance". Then, we used a logical AND combination of these keywords to search through digital libraries and conference proceedings as shown in Table 2.
We started by searching the IEEE Xplore and ACM Digital Libraries, and then we browsed the conference proceedings of both the IEEE Visualisation and EuroVis conferences. We repeated this process with Google Scholar. A database that documents the publications
within IEEE VIS conference from 1990 to 2015 called VisPubData was also incorporated. The combination of search terms is outlined below. Each search term was split into two segments. Each combination of first and second terms were used in the
search process.
First Term | Second Term |
---|---|
Business | Visualisation |
Customer | Visual Analytics |
Market | Visual Analysis |
Economic | Visual Intelligence |
Finance | |
Corporate | |
Commercial |
Once the list is complete, we carefully read through while summarising and classifying each paper according to the systematic process outlined previously, prioritising the most recently published work. Then, we inspected the references for each paper, looking for previous papers that do not appear in the preliminary searches. The literature search process lasted over a year.
In summary, our primary sources during the literature search are:
-
IEEE Xplore
-
ACM Digital Library
-
Google Scholar
-
References of collected papers
Table 3 shows where most of the papers are published.
Table 3. This table describes the distribution of papers found in each of the major publication venues.
Conference/Journal | Count |
---|---|
IEEE Transactions on Visualization and Computer Graphics | 13 |
The IEEE Information Visualisation Conference (IV) | 6 |
IEEE Transactions on Visualization and Computer Graphics | 5 |
IEEE Visual Analytics Science and Technology (VAST) | 3 |
The Annual EuroVis Conference | 3 |
Information Visualisation Journal (SAGE) | 3 |
The Annual PacificVis Conference | 1 |
VIS Business Visualisation Workshop | 1 |
Other | 34 |
total | 69 |