When the ball dropped on 2017 it opened another pivotal year for digital transition. Some insurers feel poised for digital success. For many others, small gains have been hard won and their positive business impacts quickly muted by a fast-moving business landscape. 2016 compounded their conundrum by exposing the vulnerable underbelly of insurers, Uber-style, to new business models—such as on demand insurance—new entrants, and emerging InsurTech. If all this caught you by surprise, and you have not had time to formulate a response, 2017 is now or never. Sorry, the party will have to wait.
What side of the digital divide are you on? You’ll find the answer in the new ACORD/Genpact report, Assessing Digital Impact Across Insurer and Channel Operations, which offers insight into the traits that make up either a digital leader or a laggard. It turns out that the great majority of “digital leaders” are those companies that have successfully aligned the back and middle office with the front office.
A recent announcement from Liberty Mutual shared with the industry how they leveraged our EIS Suite™ software and the power of the AWS cloud to create a new, single cloud-based platform for their benefits business unit. The implementation timeline was very aggressive and called for an accelerated schedule of getting from scope to live in under seven months. The implementation team creditably accomplished the goal and they did so by following modern software delivery practices.
The tech talent battle is waging and at this point insurers are not faring well. The competition is stiff across all sectors for much in demand skill-sets needed for success in the digital age. The problem for insurers is part perception, part reality. Insurance is not on the radar of millennials as an exciting career, and many insurers are still transitioning from a legacy technology. Where is the cool stuff that fresh and smart tech talent wants to work with? Insurers will need to scrutinize their technology choices and strategies if they want to attract critical talent to scaffold the next century of insurance.
Drones, bots, blockchain, AI and machine learning are what everybody is suddenly talking about. Start-ups with cool names like Trov, Slice, Goji and WeSavvy are the talk of the insurance town, yet just a year or two ago core transformation toward becoming a digital insurer was all the rage, and the names of core vendors filled the headlines. Now, it seems like all the cool stuff is happening peripherally to the core and some great examples peppered the lively discussion of Insurtech and next-gen insurance at the recent SMA Summit.
When it comes to benefits insurance market expansion…it’s good to be a “yes” man
What stood out this year at the LIMRA Group and Worksite Benefits Conference was all of the talk around small businesses. Yes, it is an election year. But no, this was not just an echo of every candidate’s familiar refrain about how small business is the growth engine for America and must be supported. For benefits insurers, this is an every year issue. Carriers struggle to make small business a plank in their platform for business growth. The result is that growth opportunities are left on the table while the majority of carriers are forced to battle over the same books of business in the large and jumbo case markets.
How smart do insurers have to be to engage customers? Just how much customer data from sources near and far and how much analysis of customer behavior is necessary to create an effective engagement model? The answer may as well be, “How much money are you willing to spend?” Overlooked, however, is the fact that core systems data is actually customer insight lying in plain sight. How can insurers get at it and use it for intelligent engagement? Why must they?
In part one of this series on rating systems, we looked at how traditional development processes can expose your insurance business to risk. Among the most serious of these are having a single point of failure in your pricing model and the financial risks that result from long development cycles that limit how often you can update pricing. In this post, we take a look at a new approach that enables you to complete a rating initiative by defining and deploying rating models, tables, and algorithms in a fraction of the time, while empowering you to safeguard your margins by revising pricing as often as your business demands.
It’s the ultimate irony. Insurance carriers are in the business of risk management, assessing risk while predicting revenue and expenses and then pricing for that. However, the mechanisms many carriers use to generate the rating systems their pricing depends on expose them to risk.
New technologies. New players. New products. New business models. The clamor of disruption is loud in our ears, but seeing a clear path for adapting to change and implementing new technologies to support change is hard. In their urgency, are insurers force-fitting disruption on old operating models and systems?