IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-45601-5_15.html
   My bibliography  Save this book chapter

Rethinking the Traditional Statistical Business Process Model in Central Banks in the Light of Modern Digitization: A Case of Georgia

In: Chances and Challenges of Digital Management

Author

Listed:
  • Nana Aslamazishvili

    (National Bank of Georgia)

Abstract

Many factors, such as, wars, crises or pandemics strongly contribute to modern economic processes to become more and more unpredictable. Nevertheless, statistics remain the science that must study these processes in whatever direction economic events develop. Thus, it is not enough for statistics to simply play the role of an observer of events. It must itself be designed in such a way as to be somewhat ahead of events in order to be able to assess them immediately and supply policymakers, businesses or academics with necessary information. On the other hand, the production of digital financial system statistics definitely requires the transformation and digitization of the entire statistical business process model. National Bank of Georgia (NBG) applies such a principled approach to the development of statistics under its mandate. In order to realize the mentioned approach, NBG implemented the project SebStat which stands for statistics of NBG. This study shows how the SebStat project solved the above problem by digitizing the statistical business process at the central bank.

Suggested Citation

  • Nana Aslamazishvili, 2023. "Rethinking the Traditional Statistical Business Process Model in Central Banks in the Light of Modern Digitization: A Case of Georgia," Springer Proceedings in Business and Economics, in: Richard C. Geibel & Shalva Machavariani (ed.), Chances and Challenges of Digital Management, pages 161-169, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-45601-5_15
    DOI: 10.1007/978-3-031-45601-5_15
    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:prbchp:978-3-031-45601-5_15. 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.