| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 551972 | Decision Support Systems | 2016 | 10 Pages |
•Business information visualization terminology is consolidated.•Framework is adopted to suggest the value of using five anchoring dimensions of human visual intelligence in identifying critical BIV elements.•BIV elements aligned with five dimensions of visual IQ are identified and contextualized in decision making context.•Practice focused research gaps and opportunities are proposed.
Modern organizations treat data as an IT infrastructure based upon which business processes and strategy can not only be informed but shaped. One important step in this process deals with the way users consume data through visual display and how those visualization-reliant technologies could impact decision making. Motivated by business information visualization's (BIV) practical relevance and disjointed nature of academic literature, this research summarizes relevant BIV research landscape; by explicating and clarifying visualization terminology and definitions, and condensing relevant literature using a framework that describes and links essential visual elements of business intelligence (BI) platforms to the dimensions of the well-known visual intelligence quotient (IQ) dimensions. The paper identifies gaps and suggests future research opportunities.
