Women are strong in insurance, making up a large percentage of the workforce (from 45-85 percent depending on the profession). Yet despite this strength, women like Inga Beale and Karen Clark comprise only 8 percent of named executive officer positions and 17 percent of board seats. What about women in the tech industry? As an InsurTech company, we thought Women’s History Month would be a good time to take a closer look.
Industry events, like the recent Reinsurance Association of America’s (RAA) Cat Risk Management conference, are always a great way to take the pulse of the industry and connect with people. I’ve been attending RAA’s conference on behalf of SpatialKey for years, and I generally come away invigorated by my conversations with clients and prospects. This year, however, the energy among these conversations was a bit different. That energy had more urgency and emotion behind it. It’s clear the unprecedented events of 2017 have taken a toll on people, and there’s a compelling need to do something about it. Individuals and teams alike have worked tirelessly; and while the events have passed, the emotional fatigue is left in their wake.
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:
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 behavior-based data. Recently we had a chance to catch up with Dr. Andrew Schiller, CEO and Founder of Location, Inc., where we discuss 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 pioneering the field of behavior risk and bringing deeper insights to underwriting and claims.
At our most recent company retreat, SpatialKey Chief Product Officer, Doug McCune, shared with us his vision for the future of SpatialKey. As a jumping off point, he talked at length about Elon Musk’s Falcon Heavy space launch and the number of iterations, failed attempts, tweaks, and tests that went into making it just right (and ultimately, successful!). Doug inspired all of us to think deeper about what companies like ours can learn from the Falcon Heavy launch. Turns out, there’s quite a bit! From failing fast to breaking up a major initiative into smaller, more achievable goals, here’s how SpatialKey is using Elon Musk’s Falcon Heavy launch as a template for success, and how you can too.
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.
SpatialKey Inc. (SpatialKey), the leader in geospatial insurance analytics, has partnered with leading global reinsurer, Swiss Re, to offer insurers access to multi-peril hazard data through SpatialKey’s proprietary underwriting solution. This collaboration integrates Swiss Re’s CatNet® hazard data directly into SpatialKey, providing insurers with access to 10 hazards worldwide for greater accuracy in risk selection, assessment, and management.
Earlier this morning, Punxsutawney Phil saw his shadow. And, you're probably thinking, "What does this have to do with my underwriting?" Just bear with the logic for a moment...Do you know how often Phil’s forecasts have been right? If he were right even 70-80 percent of the time, would you see animal predictions as rooted in science? A sound piece of data perhaps?
If you don’t know Ambiental, now’s a good time to get familiar with this global flood data provider that specializes in analyzing flood risk and modeling flood hazard. They’ve got a strong track record of increasing the precision of pricing and loss estimation for insurers and reinsurers. Now that their data has been integrated into SpatialKey, we thought it’s a good time to catch up with Evan Shallcross, Technical Manager at Ambiental, who had this to say about underwriting flood risk, progressive flood models, flood maps, and more.
At a glance: