If on-the-ground underwriters can get risk insight instantly – and can make a quick check simply by entering a location rather than waiting for a risk analyst or trying to gather public data themselves, it has the potential to radically improve underwriting performance. We are seeing this change beginning to happen with SiteIQ, a recently launched application that utilizes the RMS open platform – Risk Intelligence™.
uses our trusted risk model data – the same data used across a client’s
organization, to deliver hazard risk scores instantly for a location, to help underwriters
make better decisions on whether to reject, accept or refer a risk for further
analysis. Using the same risk data throughout means that new risks reflect a
business’s acceptance criteria, bringing harmony to the book of business.
By making SiteIQ quick and simple to use, underwriters see it as a useful tool in their armory, knowing they can get valuable, modeled risk insight whenever they need it. The breadth of the instant insight adds to its usefulness, covering many available perils, with outputs including risk scores, loss costs – all presented in a highly visual, intuitive app.
We keep going back to users to find out how they are using SiteIQ and what they would like to see in terms of developments. And, in its first few months since launch, thanks to client feedback, RMS has now released the third iteration since launch – SiteIQ version 1.3.
RMS launches new exposure management application focused on the portfolio manager – ExposureIQ on the new cloud platform, Risk Intelligence™.
The role of a portfolio manager is a demanding one. It represents a high-wire balancing act between managing profitability and growth on one hand and keeping within exposed limits and minimizing risk accumulation and potential losses on the other. It is the portfolio manager who must uncover the “hot spots” if an individual line of business, geography, or risk type is looking under pressure as a loss driver – and highlight the “cold spots” where segments have growth potential.
They are always under the watchful eye of regulators and governance functions who need regular reports to show that the business is sticking to its stringent boundaries and limits. And if all this wasn’t enough, they are also on the frontline when a cat event strikes and on duty throughout to regularly update and reveal the impact of the event on the portfolio before, during, and post-event.
democratizion of risk data is a core mission for RMS; to provide relevant,
timely risk insight to everyone who needs it, designed for every role in the
business, from those on the frontline of underwriting, through to those
responsible for the entire portfolio. Delivered through simple, elegant
applications, by ensuring relevant data gets to every area of a business you
can build empowered teams that can take effective decisions.
SiteIQ is a great example of this data democratization in action. This application pulls property results from RMS catastrophe models – and supported by qualified third-party data such as crime scores and fire protection measures, it provides an understanding of which hazards are applicable for each location at the point of risk-selection. Risk scores from one to ten, red-amber-green referral advice, high resolution hazard maps, and loss cost data – is all delivered in seconds.
This is a taster of an article published in the latest edition of EXPOSURE magazine featuring the new RMS application – SiteIQTM. For the full article click here or visit the EXPOSURE website.
EXPOSURE magazine recently looked at the challenges that underwriters and agents at coverholders currently face, to get comprehensive risk data when evaluating an individual location.
When evaluating single risks, underwriters and coverholders typically have to request exposure analytics from their portfolio managers and brokers, or gather their own supplementary risk data from a range of external resources, whether it is from Catastrophe Risk Evaluation and Standardizing Target Accumulations (CRESTA) zones, through to lookups on Google Maps. But all this takes valuable time, requires multiple user licenses and can generate information that is inconsistent with the underlying modeling data at the portfolio level.
With the start of the U.S. wildfire season on the horizon, in the latest edition of EXPOSURE – the RMS magazine for risk management professionals, wildfire is our lead story, as we examine whether it now needs to be considered a peak peril. The 2017 and 2018 California wildfires have forced one of the biggest re-evaluations of a natural peril since Hurricane Andrew in 1992, as the industry begins to comprehend the potential loss severities.
The article argues that there are similarities with U.S. wildfire as there was with North Atlantic hurricane in 1992 – catastrophe models were relatively new and had not gained market-wide adoption, and many organizations were not systematically monitoring and limiting large accumulation exposure in high-risk areas. Find out why a rethink is required about how the risk management industry currently analyzes the exposure and the tools it uses.