- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
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.
3 Concluding Remarks
Motivated by BIV’s practical relevance and disjointed nature of academic literature, we set our goal to summarize relevant business information visualization research landscape by clarifying visualization definitions and condensing relevant literature into a framework that describes essential visual elements of BI platforms. Our research highlights the need for continued cross-disciplinary understanding of business information visualization. This approach highlights that visual components of BI systems need to manifest intelligence in their own design and deployment by supporting and accentuating relevant human visual intelligence dimensions. Acknowledging our research as a starting point, we invite further conceptual and empirical research in this important research domain