Transform Middle-Market Underwriting with Automated Efficiencies and Data Sophistication
17-05-2021
New datasets allow us to more directly measure exposure—so why aren’t we making more of them? It would make sense to think for example that the size of foot traffic in a location would correlate to the venue’s risk exposure, yet surprisingly, this isn’t the case. Instead, we rely on the amount of money that passes via the cashier. Insurers can make much more of new datasets to transform their general liability underwriting, improve loss projections and price accurately, transforming the profitability of their portfolio.
The rest of this article is locked. Please login to continue reading.
If you don't have a login, you will need to purchase a subscription to gain access to this article, and all the other content. Please use this link and follow the steps.
To take out a free two week trial, use the same link but select the 'trial' option in the dropdown box.
For multi-user price options, or to check if your company has an existing subscription we can add you into, please email Elliot at efield@newtonmedia.co.uk
Safegraph, Commercial Lines, Insurance, Reinsurance, Jay Gentry, Mike Morrow, North America
