Interactive Big Data Visualizations: Potential for Management Reporting
Peter Hofer (),
Lisa Perkhofer and
Albert Mayr
Chapter 10 in The Digitalization of Management Accounting, 2023, pp 143-169 from Springer
Abstract:
Abstract This paper highlights the applicability of novel visualization types for the representation of multidimensional data. For this purpose, multidimensional visualizations for several dimensions (Sankey, Sunburst and Treemap visualization) as well as for several attributes (Parallel Coordinates Plot, Heatmap) are presented. For this purpose, on the one hand, more than 100 practitioners from the financial sector were interviewed about challenges in dealing with Big Data, and on the other hand, several online experiments as well as experiments by means of eye tracking technology were conducted. This approach allows to derive and summarize a comprehensive judgment about the usability as well as the advantages and disadvantages of these Big Data visualizations.
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-41524-2_10
Ordering information: This item can be ordered from
http://www.springer.com/9783658415242
DOI: 10.1007/978-3-658-41524-2_10
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().