Graham Libaert

By: Graham Libaert

Graham joined Concirrus in 2014. As Data Strategy Director , he is focused on building an eco system of data partnerships to enrich our marine offering. With many years of leadership experience in the technology and IoT sectors, Graham is passionate about the value that connected data sets can deliver to organisations and is now focused on helping insurers leverage and integrate the vast data available from the shipping industry into their business.

16 Mar, 2020

DATA, CONCIRRUS, QUEST MARINE, IUMI, underwriting, survey

Marine Insurance Data Survey 2020

This article was originally published in the March 2020 IUMI Eye Newsletter.

During the IUMI annual conference in Toronto 2019, the following question was posed to the audience: ‘Digitalization/use of data – what is the impact on marine insurance’?  

47% of IUMI members polled stated that they believed underwriters would become ‘portfolio managers,’ where underwriting decisions will be taken based on fully digitalised information flow. Very few expected minor changes from the impact of data. 

IUMI Toronto Data Poll 2019Figure 1: IUMI Annual Conference 2019 - Member Digitalisation Poll 

Given this perception, from an organisational, resource and budgetary perspective, how mature are marine insurers today? Is the market ready to generate value, and greater underwriting performance, from the tsunami of new external data? 

As a leading aggregator of external data using our digital platform and predictive risk models, we are aware of the frictions involved to qualify, prioritise, evaluate, process and clean dataThis equates to approximately 80% of the work we perform prior to any data analysis. 

When processing data we need to address due diligence, contractual governance and regulatory complianceCould these factors be barriers to widespread adoption for the majority of the marine insurance industry moving forward? 

In 2018, Gartner published ‘The Maturity Model for Data and Analytics’ along with the results of their 2017 survey. The conclusion was that ‘91 percent of organisations have not yet reached a "transformational" level of maturity in data and analytics.’ 60 percent of respondents rated themselves at the three lowest levelsThis is a macro view and emphasises our need to be more aware of our positioning as an industry. 

Graph_2 Figure 2: Gartner, Inc. 2017. Overview of the Maturity Model for Data and Analytics. 

Where do you feel your organisation sits within the Gartner data and analytics maturity model? Do you feel your organisation is ahead of the curve (4 or 5), lagging (1), or prepared to leapfrog to (3) 

To gain a better understanding of our industry specific state, take part in our quick survey on data maturity. All respondents will benefit from access to the publication of our findings, which will be anonymised and aggregated before publication. Open Survey


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