VISUALISE | INSIGHTS FOR THE UK AND IRISH INSURANCE MARKETS

Commercial Property

15 July 2021

How to find reliable data in the Lloyd’s Market

Reliable data is an indispensable resource for actuaries, whether they are novices or seasoned practitioners.

23 September 2020

Four ways aggregated cyber data can help the London Market

The lack of relevant and credible cyber insurance data remains a challenge for the London Market, making it difficult to make informed decisions around cyber risk.

01 April 2020

Five ways UK property underwriters can suffer from premium leakage

Learn common ways underwriters might suffer from inaccurate rates, higher loss ratios or unexpected claims costs due to missing or misstated underwriting information.

30 March 2020

COVID-19 outbreak: Remote technologies ensure “business as usual” for claims adjusters

While the world faces logistical challenges from COVID-19, insurance claims will continue to occur, and weather-related catastrophes will not abate due to the disease.

10 March 2020

How can the London Market tackle outdated and inconsistent policy language?

London insurers write a diverse range of policies across lines of business and geographies that it’s difficult to ensure policy language is up to date and consistent.

04 February 2020

Freezing weather and burst pipe claims: Are insurers prepared for another ‘Beast from the East’?

UK insurers saw a significant spike in escape of water and weather-related claims during Q1 2018 when Anticyclone Hartmut struck Great Britain and Ireland.

14 November 2019

Death by a thousand cuts: Why Lloyd’s underwriters need better data for attritional losses

Not understanding the quality of a risk can lead to poor attritional loss ratios, which is why it's paramount that Lloyd’s underwriters not lose out to poor-quality data.

31 October 2019

Subsidence, heave, and other risks beneath: Why insurers can’t rely on just one data source

When developing a peril-specific rating plan for subsidence, heave, and other ground movement risk, property insurers can’t afford to rely on just one data source.