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Increase data sharing or die? An initial view for natural catastrophe insurance

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posted on 2022-01-17, 14:25 authored by Paul TimmsPaul Timms, John HillierJohn Hillier, Christopher P. Holland
This article is an illustration of Geography in action, recounting an investigation into an industry's views of data sharing. The insurance sector is fundamentally analytics driven and based on geospatial data. One option for more effective and efficient insurance for natural hazard risks (e.g. flooding, earthquake) is, in theory, to increase the sharing of data between the various (re)insurance organisations. However, it remains unclear to what extent this is desirable or practical for commercially sensitive data. This work creates a conceptual model of data sharing in (re)insurance, focussing on loss (claims) data for natural hazards as an illustrative microcosm, including barriers and solutions to sharing. In light of this, an initial view on the future shape of insurance data sharing is given, finishing with an opinion on whether or not new external disruptors (start-ups, tech giants - e.g. Google, Amazon, Tencent) pose an existential threat to incumbent firms.

Funding

INTER-ACTION - 'Defining how we can act together to manage insurable risk'

Natural Environment Research Council

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Technology Driven Change and Next Generation Insurance Value Chains (TECHNGI)

UK Research and Innovation

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History

School

  • Social Sciences and Humanities
  • Mechanical, Electrical and Manufacturing Engineering
  • Business and Economics

Department

  • Geography and Environment
  • Business

Published in

Geography

Volume

107

Issue

1

Pages

26-37

Publisher

Taylor and Francis

Version

  • AM (Accepted Manuscript)

Rights holder

© Geography

Publisher statement

This is an Accepted Manuscript of an article published by Taylor & Francis in Geography on 07 Jan 2022, available online: http://www.tandfonline.com/10.1080/00167487.2022.2019494

Acceptance date

2021-12-07

Publication date

2022-01-07

Copyright date

2022

ISSN

0016-7487

eISSN

2043-6564

Language

  • en

Depositor

Dr John Hillier. Deposit date: 7 December 2021

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