IDEAS home Printed from https://ideas.repec.org/a/aza/jbcep0/y2024v17i4p351-362.html
   My bibliography  Save this article

Mine the past: How to make better risk-based decisions and improve outcomes with historical threat data

Author

Listed:
  • Pickren, Ann

    (Strategic Engagement, USA)

Abstract

The impact of every crisis has the potential to cascade throughout an organisation’s operations, supply chain and market ecosystem. To properly understand and mitigate this ripple of dynamic risk, business continuity, security and risk management leaders need to know where to focus their attention. Looking at historical threat data provides a clearer picture of the risk landscape, helping leaders better anticipate and plan for the future. To date, however, there have been challenges in this process. As the volume of data about critical events continues to grow at an alarming rate, sifting manually through data puts organisations — and business continuity — in jeopardy. This paper discusses the value of historical threat data and innovations in data-mining technology that can unlock the true power of historical data for informed, strategic decision-making and better outcomes during a crisis.

Suggested Citation

  • Pickren, Ann, 2024. "Mine the past: How to make better risk-based decisions and improve outcomes with historical threat data," Journal of Business Continuity & Emergency Planning, Henry Stewart Publications, vol. 17(4), pages 351-362, June.
  • Handle: RePEc:aza:jbcep0:y:2024:v:17:i:4:p:351-362
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/8469/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/8469/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    historical threat data; historical reporting; risk management; historical risk data; threat and vulnerability assessment; TVA; dynamic risk; data mining;
    All these keywords.

    JEL classification:

    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

    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:aza:jbcep0:y:2024:v:17:i:4:p:351-362. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.