IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-658-41524-2_10.html
   My bibliography  Save this book chapter

Interactive Big Data Visualizations: Potential for Management Reporting

In: The Digitalization of Management Accounting

Author

Listed:
  • Peter Hofer
  • Lisa Perkhofer
  • Albert Mayr

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.

Suggested Citation

  • Peter Hofer & Lisa Perkhofer & Albert Mayr, 2023. "Interactive Big Data Visualizations: Potential for Management Reporting," Springer Books, in: Imke Keimer & Ulrich Egle (ed.), The Digitalization of Management Accounting, chapter 10, pages 143-169, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-41524-2_10
    DOI: 10.1007/978-3-658-41524-2_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-658-41524-2_10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.