Business information visualization intellectual contributions: An integrative framework of visualization capabilities and dimensions of visual intelligence

Does design matter when visualizing Big Data? An empirical study to investigate the effect of visualization type and interaction use

“…Management accountants need to expand their scope from historical data reporting to real-time data processing, from using only in-house data to the inclusion of external data sources, from traditional paper based to interactive and online based reporting, and to shift the focus from reporting the past to predicting the future (Appelbaum et al 2017;Goes 2014). To achieve this shift, new tools and technical instruments such as algorithms, appropriate management accounting systems and reporting software (Pasch 2019) and especially interactive data visualization are necessary (Perkhofer et al 2019b;Janvrin et al 2014;Bačić and Fadlalla 2016;Ohlert and Weißenberger 2015).…”

“…Perceptual inferences are comparatively easy for humans to draw, as their visual sense is superior (with respect to fast programmable algorithms) and data transformation to the essential stores in human memory is astoundingly fast (Ware 2012;Keim 2001;Sweller 2010). Visualization thereby enhances the ability of both, searching and recognizing, and thus significantly enhances sense-making capabilities (Munzner 2014;Bačić and Fadlalla 2016).…”

“…Big Data visualizations are unique in their purpose and designed to deal with, and present, larger amounts and various forms of data types (Perkhofer et al 2019b). Novel forms with the goal of presenting multidimensional data, often used in visual analytics (Liu et al 2017;Bačić and Fadlalla 2016), range from parallel coordinates and polar coordinates plots, over sunburst-, Sankey-, and heatmap-visualizations, to scatterplot matrices and parallel coordinated views (Liu et al 2017;Albo et al 2016;Bertini et al 2011;Claessen and van Wijk 2011;Lehmann et al 2010).…”

“…Unlike conventional charts used in everyday life (e.g. line, pie, or bar charts), new visualizations require a close focus on design and interaction in order to be considered useful (Liu et al 2017;Kehrer and Hauser 2013;Elmqvist et al 2011;Pike et al 2009;Bačić and Fadlalla 2016). Unfortunately, for both the design and use of new visualization options, and the design and use of interaction, limited empirical research is available (Isenberg et al 2013;Perkhofer et al 2019b).…”

Information Visualisation for Project Management: Case Study of Bath Formula Student Project

“…Organizations across diverse sectors are increasingly turning to information visualisation tools to leverage the growing availability of large data sets for insights to improve their work practices and performance [17], [28], [31], [2], [10]. Within the engineering domain, projects are becoming ever more complex and highly distributed, creating immense digital footprints as part of their project lifecycle [3], [11].…”