Expertise can mean many things. Our last post from our CTO Brandon Purcell, How collaborating on technology changes the buy vs. build debate once and for all, touched on this important, but often overlooked part of this equation. Brandon pointed out that to obtain a solution that truly helps you understand your data and identify the insights you need to make decisions, you have to collaborate with experts. I wholeheartedly agree. But, I would add that you have to use the right kind of expert—with the right skill set—to successfully build and deploy a data analytics solution that will be readily adopted by your team.
Photo credit: scienceblogs.com
With the tenth anniversary of Windstorm Kyrill coming up this January, I can still recall the buzz in the insurance market when it first hit. Insurers were still reeling from a brutal 2005 U.S. hurricane season that brought Katrina, Dennis, Rita, Wilma, and several other large events. So the news of Kyrill came at a time when event response was emerging as both a proactive and reactive discipline, and insurers felt more prepared to respond. The tools they used weren’t quite as sophisticated as what exist today, but they expected to have access to quality data and to be able to provide a rapid supply of information and services to policyholders, management, and investors.