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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

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The Digitalization of Management Accounting

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.

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Author information

Authors and Affiliations

  1. Steyr, Austria

    Peter Hofer, Lisa Perkhofer & Albert Mayr

Authors
  1. Peter Hofer
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  2. Lisa Perkhofer
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  3. Albert Mayr
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Correspondence to Peter Hofer .

Editor information

Editors and Affiliations

  1. Institute of Financial Services Zug IFZ, Lucerne University of Applied Sciences and Arts Business, Rotkreuz, Switzerland

    Imke Keimer

  2. Institute of Financial Services Zug IFZ, Lucerne University of Applied Sciences and Arts Business, Rotkreuz, Switzerland

    Ulrich Egle

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Hofer, P., Perkhofer, L., Mayr, A. (2023). Interactive Big Data Visualizations: Potential for Management Reporting. In: Keimer, I., Egle, U. (eds) The Digitalization of Management Accounting. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-41524-2_10

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