Interactive big data visualizations: Potential for management reporting: A summary of empirical studies on the selection, use, and design of novel visualization types

Peter Hofer; Lisa Perkhofer; Albert Mayr

doi:10.1007/978-3-658-41524-2_10

Interactive big data visualizations: Potential for management reporting: A summary of empirical studies on the selection, use, and design of novel visualization types

Peter Hofer^*, Lisa Perkhofer, Albert Mayr

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	The Digitalization of Management Accounting
Subtitle of host publication	Use Cases from Theory and Practice
Publisher	Springer
Pages	143-169
Number of pages	27
ISBN (Electronic)	9783658415242
ISBN (Print)	9783658415235
DOIs	https://doi.org/10.1007/978-3-658-41524-2_10
Publication status	Published - 16 Jun 2023

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10.1007/978-3-658-41524-2_10

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Interactive big data visualizations: Potential for management reporting: A summary of empirical studies on the selection, use, and design of novel visualization types. / Hofer, Peter ; Perkhofer, Lisa ; Mayr, Albert.
The Digitalization of Management Accounting: Use Cases from Theory and Practice. Springer, 2023. p. 143-169.

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

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AU - Perkhofer, Lisa

AU - Mayr, Albert

PY - 2023/6/16

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AB - 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.

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Interactive big data visualizations: Potential for management reporting: A summary of empirical studies on the selection, use, and design of novel visualization types

Abstract

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