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.
InsurTech, or digital information, isn’t just about Internet of Things (IoT), blockchain, wearables or telematics. A key digital transformation initiative, and competitive differentiator in the digital age, will be advanced data and analytics. And, innovation in data analytics is a big chunk of the $185 billion global insurance technology spend in 2017. If you’re struggling with legacy systems, lack of visual analytics, data inaccuracy and disparity (among many other analytic challenges), it’s time to make advanced data and analytics a transformation priority.
This 2-minute infographic shows how and why to bridge the technology gap with InsurTech for better data and analytics:
