KEYWORDS: Visualization, Visual analytics, Business intelligence, Bismuth, Analytical research, Information visualization, Printing, Complex systems, Information technology, Data analysis
Business Intelligence (BI) deals with transforming raw business data into valuable information for making decisions. The goal is to improve the operation and use of large-scale, complex information systems. A number of automated BI techniques are available. These methods, however, have to be supported by user interaction to make successful business decisions. In this paper, we present a new technique for interactive business intelligence based on visualization technology, called VisImpact. The basic idea of the VisImpact technique is to visually display the relationships between the important business operation parameters and the distribution of the process flow. We have applied VisImpact in the areas of business contract analysis, business operation analysis, and fraud analysis, to show the power of the VisImpact technique for finding process flows, patterns, and trends, and for a quick identification of exceptions (outliers). Our interactive VisImpact system provides the means for an instant drilldown to a transaction record level which allows observing the evolution of business dynamics.
A common approach to analyze geo-related data is using bar charts or x-y plots. They are intuitive and easy to use. But important information often gets lost. In this paper, we introduce a new interactive visualization technique called Geo Pixel Bar Charts, which combines the advantages of Pixel Bar Charts and interactive maps. This technique allows analysts to visualize large amounts of spatial data without aggregation and shows the geographical regions corresponding to the spatial data attribute at the same time. In this paper, we apply Geo Pixel Bar Charts to visually mining sales transactions and Internet usage from different locations. Our experimental results show the effectiveness of this technique for providing data distribution and immediate identification of anomalies from the map.
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