IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-78814-8_8.html
   My bibliography  Save this book chapter

Actuarial Data Science

In: The Digital Journey of Banking and Insurance, Volume I

Author

Listed:
  • Susanne Brindöpke

    (ifb SE)

Abstract

Insurance companies have always been dependent on reliable projectionsProjections and hence on data-driven decisions. As digitalization is progressing in almost every industry, insurance companies may benefit in particular, because they already possess valuable historical data. Not only is process automation, for example in the settlement of claims or the distribution of insurance contracts, worth considering, but the traditional fields of work of actuaries, for example, pricingPricing, reservingReserving, or investment, also offer various applications for machine learning algorithms. This chapter gives an overview of actuarial data science with promising use cases where existing models can be enhanced or even replaced and presents the important prerequisites that need to be taken into account.

Suggested Citation

  • Susanne Brindöpke, 2021. "Actuarial Data Science," Springer Books, in: Volker Liermann & Claus Stegmann (ed.), The Digital Journey of Banking and Insurance, Volume I, edition 1, pages 119-136, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-78814-8_8
    DOI: 10.1007/978-3-030-78814-8_8
    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:978-3-030-78814-8_8. 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.