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

Nana Aslamazishvili ()
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Nana Aslamazishvili: National Bank of Georgia

A chapter in Chances and Challenges of Digital Management, 2023, pp 161-169 from Springer

Abstract: 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.

Keywords: Digitization; SebStat; GSBPM; Banking statistics; SNA (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-45601-5_15

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DOI: 10.1007/978-3-031-45601-5_15

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