Looking for some innovative crime risk data? Look no further than Location, Inc. These curious problem-solvers are bringing insurers a more comprehensive view of crime risk through advancements in hyperlocal data. We had a chance to catch up with Dr. Andrew Schiller, CEO and Founder of Location, Inc., who sheds light on how their crime risk data is helping more than 150 carriers generate focused underwriting guidelines and combat fraudulent claims—with about a 10% reduction in crime loss ratio and adverse selection. Read on to learn how they’re bringing deeper insights to underwriting and claims.
At a glance:
When I first discovered how well the insurance industry collaborates, I was blown away. As an outsider, learning how agents, brokers, carriers, and reinsurers all work together to identify, write, and share risk was both overwhelming and fascinating. I was impressed at how multiple insurers participate in sharing a single risk and how each does so leveraging its unique strategy and specialty. An industry that initially seemed boring to me became artful and fascinating, even noble. I continually reflect on how this level of collaboration and risk sharing makes tremendously ambitious projects—from skyscrapers to city centers—possible. And yet, surprisingly, this industry that is so fundamentally built upon collaboration seems to lag far behind its peers when it comes to technology innovation and collaboration.
An excerpt from our latest eBook: click here to download the full version.
Last year’s record insured losses, $144 billion globally according to Swiss Re, have proven to be a catalyst for reinvigorating P&C insurers’ focus on driving efficiencies in the commercial underwriting process—ideally for minimal cost and disruption.
One of the key issues emerging is a gap between the wealth of information that is now abundant and insurers’ ability to process all that information—there’s both a deficiency in speed to information and the ability to harness its value. This deluge of data, in particular natural hazard risk data, is hindering the performance of property underwriters. But it doesn’t have to.
At industry events I generally come away invigorated by my conversations with clients and prospects. This year, however, the energy has been a bit different. That energy has had more urgency and emotion behind it. It’s clear the unprecedented events of 2017 took a toll on people, and there’s a compelling need to do something about it (especially with the 2018 hurricane season just around the corner).
HazardHub may be a newer name on the data scene, but with 24+ hazard datasets and risk information in shapefiles and APIs, these experienced data scientists are pros at modeling volatile perils like flood, storm surge, wildfire, earthquake, and more. Recently, SpatialKey caught up with John Siegman, founding partner at HazardHub, to talk through the power of hazard data for insurers. Here’s what he had to say about how their data is helping insurers better select and manage risk:
As an underwriter, you’re already data driven. But, how data informed are you? To effectively compete, insurers—and underwriters in particular—will need new and innovative sources of external data, alongside advanced analytics, to inform underwriting strategy and put that strategy into practice at the point of sale.
There’s been a lot of talk in recent years about technology, innovation, and the “underwriter of the future.” Well, the underwriter of the future is here, right now in 2018. The technology to streamline and automate property underwriting exists now. And, the hazard data and advanced analytics to select and assess risk with a new level of confidence and precision exist as well. If you’re like me, however, you may sometimes put off trying something new (and better) in favor of the status quo. So, what gives?