IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-19-4460-4_2.html
   My bibliography  Save this book chapter

A Picture Is Worth a Thousand Words: Audit Efficiency and Risk Management Through Data Visualization

In: Handbook of Big Data and Analytics in Accounting and Auditing

Author

Listed:
  • Lutfa Tilat Ferdous

    (University of Leicester)

  • Chetanpal Singh

    (RMIT University)

  • Tarek Rana

    (RMIT University)

Abstract

The chapter aims to discuss impact of data visualization on auditors’ analytical procedures and propose practical approaches to address audit efficiency through data visualization techniques. To ensure that efficient presentation of data improves audit efficiency and effectiveness, it is essential that auditors are aware of and effectively apply data visualization techniques in auditing. This chapter presents more profound data visualizations applications in audit procedures that can assist auditors in finding data discrepancies for improving audit risk management through insight development capacity. Further, this chapter considers numerous data visualization analysis tools that audit professionals can use in their specific audit procedures. Finally, this chapter provides avenues for future research in audit data analytics and recommends future research that will allow auditors to realize how technology-driven data visualization tools interact with the audit's standard features.

Suggested Citation

  • Lutfa Tilat Ferdous & Chetanpal Singh & Tarek Rana, 2023. "A Picture Is Worth a Thousand Words: Audit Efficiency and Risk Management Through Data Visualization," Springer Books, in: Tarek Rana & Jan Svanberg & Peter Öhman & Alan Lowe (ed.), Handbook of Big Data and Analytics in Accounting and Auditing, chapter 0, pages 17-39, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-4460-4_2
    DOI: 10.1007/978-981-19-4460-4_2
    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.

    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:978-981-19-4460-4_2. 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.