Tag Archives: Lexis Nexis

How to Thrive in Auto Insurance

When shopping for an auto insurance policy, consumers have greater access than ever to a quick and easy quote. Insurers continue to invest in improving the consumer experience, particularly the digital experience; a consumer can now get a quote from a mobile device while waiting in line at the grocery store! With the majority of insurers making improvements, it has become challenging for insurers to adequately compete for attention, let alone new customers.

The secret is to understand and execute on a strategy that aligns with the shopping and switching habits and preferences of today’s customers.

Shopping Habits During Renewal Windows

A 2019 analysis of the U.S. auto insurance market by LexisNexis Risk Solutions has revealed that as many as 62% of policies are shopped off-cycle or outside the traditional renewal window. At every consumer’s fingertips is access to a slew of carriers’ price-comparison tools, mobile apps and websites that prepopulate with consumer data to expedite the quote process. With consumers empowered to shop for a better deal, it’s no surprise that 40% of U.S. auto insurance policies were shopped in the past year, and that 78% of policyholders have shopped their insurance within the past five years.

See also: 3 Reasons to Use Online Marketplaces  

To complement the LexisNexis Risk Solutions proprietary market insights, we recently commissioned a national study of over 2,000 auto insurance policyholders to better determine motivations for why consumers are shopping. The respondents were classified into three categories based on their auto insurance shopping habits over the past year – recent non-shoppers, shoppers and switchers. There were significant shopping differences among the respondent groups in how they research and purchase insurance.

Recent Shoppers vs. Non-Shoppers:

  • Recent non-shoppers said they only pay some attention to their coverage and price at time of renewal and are more likely to research in-person, purchase through an agent and renew their policy automatically.
  • Shoppers, on the other hand, said they are more likely to review coverage and price very closely, research online, contact independent agents, purchase their policy online and renew their policy within 30 days of receiving notice.

These stark differences underscore why carriers need to pay attention to these behaviors and adapt their strategy to address these shopping and switching patterns to make sure they can retain their existing customer base.

Price Is King and Tops Loyalty

When it comes to insurance shopping, price was cited as the No. 1 reason consumers decided to switch insurance carriers, and the price difference doesn’t have to be as large as one might expect; a savings of $100 or less was enough incentive for 45% of all switchers across income levels. Even if a carrier offers a competitive price this year, it doesn’t mean the consumer will remain loyal. Half of shoppers in the study told us that they expect to shop again in the next year, with one in five expecting to switch carriers when they do shop. This data illustrates the impulse consumers have to shop to make sure that they’re getting the best deal. It’s only a matter of time before a consumer makes the jump to a carrier offering a better rate or easier application process.

Knowledge Is Power

If carriers don’t identify these behaviors and adapt their strategy to address these shopping and switching patterns, they will struggle to retain their customer base. We know price is the primary motivation for consumers to shop and switch, but carriers have an opportunity to use the data available to them about a consumer’s life events to engage and retain their valuable policyholders before they shop.

Life events that generally have the most influence on auto insurance shopping include: adding or removing a driver, buying or leasing a vehicle, decreasing household income, buying a house, getting married or divorced and moving. With 65% of consumers expecting a life event to occur within the next one to two years, now is the time for carriers to review their book of business and monitor and anticipate when consumers are shopping.

See also: The Insurance Lead Ecosystem  

Carriers that implement data-driven solutions that monitor and anticipate key events can engage consumers at the right time and in the appropriate context to better accommodate their new or changing coverage needs. Without a robust, active risk management process, you may only know that a policyholder is shopping when it’s too late.

An insights-based approach helps create opportunities to deepen loyalty and retention, even in a price-based, commoditized market. Consumer insights can put you in the driver’s seat with both prioritizing your most valuable policyholders for retention outreach and creating revenue opportunities with existing and potential customers.

Download the Insurance Shopology Report here.

Where Are Driverless Cars Taking Industry?

While more than half of individuals surveyed by Pew Research express worry over the trend toward autonomous vehicles, and only 11% are very enthusiastic about a future of self-driving cars, lack of positive consumer sentiment hasn’t stopped several industries from steering into the auto pilot lane. The general sentiment of proponents, such as Tesla and Volvo, is that consumers will flock toward driverless transportation once they understand the associated safety and time-saving benefits.

Because of the self-driving trend, KPMG currently predicts that the auto insurance market will shrink 60% by the year 2050 and an additional 10% over the following decade. What this means for P&C insurers is change in the years ahead. A decline in individual drivers would directly correlate to a reduction in demand for the industry’s largest segment of coverage.

How insurers survive will depend on several factors, including steps they take now to meet consumer expectations and needs.

The Rise of Autonomous Vehicles

Google’s Lexus RX450h SUV, as well as 34 other prototype vehicles, had driven more than 2.3 million autonomous miles as of November 2016, the last time the company published its once monthly report on the activity of its driverless car program. Based on this success and others from companies such as Tesla, public transportation now seems poised to jump into the autonomous lane.

Waymo — the Google self-driving car project — recently announced a partnership with Valley Metro to help residents in Phoenix, AZ, connect more efficiently to existing light rail, trains and buses by providing driverless rides to stations. This follows closely on the heels of another Waymo pilot program that put self-driving trucks on Atlanta area streets to transport goods to Google’s data centers.

In the world of personal driving, Tesla’s Auto Pilot system was one of the first to take over navigational functions, though it still required drivers to have a hand on the wheel. In 2017, Cadillac released the first truly hands-free automobile with its Super Cruise-enabled CT6, allowing drivers to drive without touching the wheel for as long as they traveled in their selected lane.

Cadillac’s level two system of semiautonomous driving is expected to be quickly upstaged by Audi’s A8. Equipped with Traffic Jam Pilot, the system allows drivers to take hands off the vehicle and eyes off the road as long as the car is on a limited-access divided highway with a vehicle directly in front of it. While in Traffic Jam mode, drivers will be free to engage with the vehicle’s entertainment system, view text messages or even look at a passenger in the seat next to them, as long as they remain in the driver’s seat with body facing forward.

While the Cadillacs were originally set to roll off the assembly line and onto dealer lots as early as spring of 2018, lack of consumer training as well as federal regulations have encouraged the auto manufacturer to delay release in the U.S.

Meanwhile, Volvo has met with similar constraints as it navigates toward releasing fully autonomous vehicles to 100 people by 2021. The manufacturer is now taking a more measured approach, one that includes training for drivers starting with level-two semi-autonomous assistance systems before eventually scaling up to fully autonomous vehicles.

“On the journey, some of the questions that we thought were really difficult to answer have been answered much faster than we expected. And in some areas, we are finding that there were more issues to dig into and solve than we expected,” said Marcus Rothoff, Volvo’s autonomous driving program director, in a statement to Automotive News Europe.

Despite the roadblocks, auto makers’ enthusiasm for the fully autonomous movement hasn’t waned. Tesla’s Elon Musk touts safer, more secure roadways when cars are in control, a vision that is being embraced by others in high positions, such as Elaine Chao, U.S. Secretary of Transportation.

“Automated or self-driving vehicles are about to change the way we travel and connect with one another,” Chao said to participants of the Detroit Auto Show in January 2018. “This technology has tremendous potential to enhance safety.”

See also: The Evolution in Self-Driving Vehicles  

We’ve already seen what sensors can do to promote safer driving. In a recent study conducted by the International Institute for Highway Safety, rear parking sensors bundled with automatic braking systems and rearview cameras were responsible for a 75% reduction in backing up crashes.

According to Tesla’s website, all of its Model S and Model X cars are equipped with 12 ultrasonic sensors capable of detecting both hard and soft objects, as well as with cameras and radar that send feedback to the car.

Caution, Autonomous Adoption Ahead

The road to fully autonomous vehicles is expected to be taken in a series of increasing steps. We have largely entered the first phase, where drivers are still in charge, aided by various safety systems that intervene in the case of driver error.

As we move closer to full autonomy, drivers will assume less control of the vehicle and begin acting as a failsafe for errant systems or by taking over under conditions where the system is not designed to navigate. We currently see this level of autonomous driving with Audi Traffic Jam Pilot, where drivers are prompted to take control if the vehicle departs from the pre-established roadway parameters.

In the final phase of autonomous driving, the driver is removed from controlling the vehicle and is absolved of roadway responsibility, putting all trust and control in the vehicle. KPMG predicts wide-scale adoption of this level of autonomous driving to begin taking place in 2025, as drivers realize the time-saving and safety benefits of self-driving vehicles. During this time frame, all new vehicles will be fully self-driving, and older cars will be retrofitted to conform to a road system of autonomous vehicles.

Past the advent of the autonomous trend in 2025, self-driving cars will become the norm, with information flowing between vehicles and across a network of related infrastructure sensors. KPMG expects full adoption of the autonomous trend by the year 2035, five years earlier than it first reported in 2015.

Despite straightforward predictions like these, it’s likely that drivers will adopt self-driving cars at varying rates, with some geographies moving faster toward driverless roadways than others. There will be points in the future where a major metropolis may have moved fully to a self-driving norm, mandating that drivers either purchase and use fully autonomous vehicles or adopt autonomous public transportation, while outlying areas will still be in a phase where traditional vehicles dominate or are in the process of being retrofitted.

“The point at which we see autonomy appear will not be the point at which there is a massive societal impact on people,” said Elon Musk, Tesla CEO, at the World Government Summit in Dubai in 2017. “Because it will take a lot of time to make enough autonomous vehicles to disrupt, so that disruption will take place over about 20 years.”

Will Self-Driving Cars Force a Decline in Traditional Auto Coverage?

At present, data from the National Highway Traffic Safety Administration indicates that 94% of automobile accidents are the result of human error. Taking humans largely out of the equation makes many autonomous vehicle proponents predict safer roadways in our future, but it also raises an interesting question. Who is at fault when a vehicle driving in autonomous mode is involved in a crash?

Many experts agree that accident liability will be taken away from the driver and put into the hands of the automobile manufacturers. In fact, precedents are already being set. In 2015, Volvo announced plans to accept fault when one of its autonomous cars is involved in an accident.

“It is really not that strange,” Anders Karrberg, vice president of government affairs at Volvo, told a House subcommittee recently. “Carmakers should take liability for any system in the car. So we have declared that if there is a malfunction to the [autonomous driving] system when operating autonomously, we would take the product liability.”

In the future, as automobile manufacturers take on liability for vehicle accidents, consumers may see a chance to save on their auto premiums by only carrying state-mandated minimums. Some states may even be inclined to repeal laws requiring drivers to carry traditional liability coverage on self-driving vehicles or substantially alter the coverage an individual must secure.

Despite the forward thinking of manufacturers such as Volvo, for the present, accident liability for autonomous cars is still a gray area. Following the death of a pedestrian hit by an Uber vehicle operating in self-driving mode in Arizona, questions were raised over liability.

Bryant Walker Smith, a law professor at the University of South Carolina with expertise in self-driving cars, indicated that most states require drivers to exercise care to avoid pedestrians on roadways, laying liability at the feet of the driver. But in the case of a car operating in self-driving mode, determining liability could hinge on whether there was a design defect in the autonomous system. In this case, both the auto and self-driving system manufacturers and even the software developers could be on the hook for damages, particularly in the event a lawsuit is filed.

Finding Opportunity in the Self-Driving Trend

Accenture, in conjunction with Stevens Institute of Technology, predicts that 23 million self-driving vehicles will be coursing across U.S. highways by 2035.

As a result, insurers could realize an $81 billion opportunity as autonomous vehicles open new areas of coverage in hardware and software liability, cybersecurity and public infrastructure insurance by 2025, the same year that KPMG predicts the autonomous trend will begin to rapidly accelerate. Simultaneously, Accenture predicts that personal auto premiums, which will begin falling in 2024, will hit a steeper decline before leveling out around 2050 at an all-time low.

Most of the personal premium decline is due to an assumption that the majority of self-driving cars will not be owned by individuals, but by original equipment manufacturers, OTT players and other service providers such as ride-sharing companies. It may seem like a logical conclusion if America’s love affair with the automobile wasn’t so well-defined.

Following falling gas prices in 2016, Americans logged a record-breaking 3.22 trillion miles behind the wheel. Even millennials, the age group once assumed to have given up on driving, are showing increased interest in piloting their own vehicles as the economy improves. According to the National Household Travel Survey conducted by the Federal Highway Administration, millennials increased their average number of miles driven 20% from 2009 to 2017.

Despite falling new car sales, the University of Michigan Transportation Research Institute shows that car ownership is actually on the rise. Eighteen percent of Americans purchase a new car every two to three years, while the majority (39%) make a new car bargain every four to six years.

Americans have many reasons for loving their vehicles. Forty percent say it’s because they enjoy driving and being in their cars, according to a survey conducted by Cars.com.

ReportLinker reveals that 83% of people drive daily and that half are passionate about the behind-the-wheel experience of taking on the open road. Another survey conducted by Gold Eagle determined that people even have dream cars, vehicles that they feel convey a sporty, luxurious or efficient image.

Ownership of autonomous vehicles would bring at least some liability back to the owner-occupant. For instance, owing to security concerns, all sensing and decision-making hardware related to the Audi Traffic Jam Pilot system is held onboard. With no over-air connections, software updates must be made manually through a dealer.

In situations like these, what happens if an autonomous vehicle crash is tied to the driver’s failure to ensure that software was promptly updated? Auto maintenance will also take on a new level of importance as sensitive self-driving systems will need to be maintained and adjusted to ensure proper performance. If an accident occurs due to improper vehicle maintenance, once again, the owner could be held liable.

As the U.S. moves toward autonomous car adoption, one thing becomes clear. Insurers will need to expand their product lines to include both commercial and personal lines of coverage if they are going to take part in the multibillion-dollar opportunity.

Preparing for the Autonomous Future of Insurance

Because the autonomous trend will be adopted at an uneven pace depending upon geography, socioeconomic conditions and even age groups, Deloitte predicts that the insurers that will thrive through the autonomous disruption are those with a “flexible business model and diverse product mix.”

To meet consumer expectations and maintain a critical focus on customer acquisition and retention, insurers will need a multitude of products designed to protect drivers across the autonomous adoption cycle, as well as new products designed to cover the shift of liability from driver to vehicle. Even traditional auto policies designed to protect car owners from liability will need to be redefined to cover autonomous parameters.

Currently, only 25% of companies have a business model that is easily adaptable to rapid change, such as the autonomous trend. In insurance, this lack of readiness is all the more crucial, considering the digital transformation already underway across the industry.

According to PwC, 85% of insurance CEOs are concerned about the speed of technological change. Worries over how to handle legacy systems in the face of digital adoption, as well as the need to accelerate automation and prepare for the next wave of transitions, such as autonomous vehicles, are behind these concerns.

As insurers look toward the complicated future of insuring a society of self-driving automobiles, we believe that focusing on four main areas will prepare them to respond to the autonomous trend with greater speed and agility.

Make better use of data

Consumers are looking for insurers to partner on risk mitigation. To meet these expectations, insurers will need to start making better use of data stores, as well as third-party sources, to help customers identify and reduce threats to life and property. Sixty-four percent want their insurer to provide real-time notifications about roadway safety, while, on the home front, 68% would like to receive mobile alerts on the potential of fire, smoke or carbon dioxide hazards.

“Technology is changing the insurer’s role to one of a partner who can address the customer’s real goals – well beyond traditional insurance,” said Cindy De Armond, managing director, Accenture P&C core platforms lead for North America, in a blog.

Armond believes that as insurers focus more on the customer’s prevention and recovery needs, they can become the everyday insurer, integrated into the lives of their customers rather than acting only as a crisis partner. This type of relationship makes insurer-insured relationships more certain and extends longevity.

For insurers and their insureds, the future is likely to be more about predicting and mitigating risk than about handling claims, so improving data capture and analytics capabilities is essential to agile operations that can easily adapt to new trends.

See also: Autonomous Vehicles: ‘The Trolley Problem’  

Focus on digital

Consumers want to engage with their insurer in the moment. Whether that means shopping online for coverage while watching a child’s soccer game or making a phone call to ask questions about a policy, they expect to be able to engage on their time and through their channel of choice. Insurers that develop fluid omni-channel engagement now are future-proofing their operations, preparing to survive the evolution to self-driving, when the reams of data gathered from autonomous vehicles can be used to enable on-demand auto coverage.

Vehicle occupants will one day purchase coverage on the fly, depending on the roadway conditions they encounter and whether they are traveling in autonomous mode. Forrester analyst Ellen Carney sees a fluid orchestration of data and digital technologies combining to deliver this type of experience, putting much of the power in the hands of the customer.

“On your way home, you’re going to get a quote for auto insurance,” she says. “And because your driving data could basically now be portable, you could do a reverse auction and say, ‘Okay, insurance companies, how much do you want to bid for my drive home?’”

To facilitate the speed and immediacy required for these transactions, insurers will need to digitally quote, bind and issue coverage.

Seek automation

In the U.K., accident liability clearly shifts from the driver to the vehicle for level four and five autonomous automobiles. As driverless vehicles become the norm, the U.S. is likely to adopt similar legislation, requiring a fundamental shift in how risk is assessed and insurance policies are underwritten. Instead of assessing a policy on the driver’s claims history and age, insurers will need to rate risk by variables related to the software that runs the vehicle and how likely owners are to maintain autonomous cars and sensitive self-driving systems.

The more complicated underwriting becomes, the more important automation in underwriting will be. Consumers who can get into a car that drives itself will have little patience for insurers that require extensive manual work to assess their risk and return bound policy documents. Even businesses will come to expect a much faster turnaround on policies related to self-driving vehicles despite the complexity of the various coverages that will be required. In addition, on-demand coverage will require automated underwriting to respond to customer requests.

According to Lexis Nexis, only 20% of commercial carriers have automated the quoting process, and less than half are investing in underwriting automation.

Invest in platform ecosystems

McKinsey defines a platform business model as one that allows multiple participants to “connect, interact and create and exchange value,” while an ecosystem is a set of connected services that fulfill multiple needs of the user in “one integrated experience.” By definition, an insurance platform ecosystem in the age of autonomous vehicles would be a place where consumers and businesses could research and purchase the coverage they need while also picking up related ancillary services, such as apps or entertainment to make the autonomous ride more enjoyable.

Consumers are in search of ecosystem values today. According to Bain’s customer behavior and loyalty study, consumers are willing to pay higher premiums to insurers that offer ancillary services, such as home security monitoring or an automotive services app, and they are even willing to switch insurers to get time-saving benefits like these.

More important to insurers is the ability to partner with other carriers on coverage. Using a commission-based system, insurers offer policies from other carriers to consumers when they don’t have an appetite for the risk or don’t offer the coverage in house. This arrangement allows an insurer to maintain a customer relationship, while providing for their needs and price points.

See also: Autonomous Vehicles: Truly Imminent?  

As the autonomous trend reaches fruition, insurers will need to have access to a wide range of coverage types to meet consumer and business needs, and not all carriers will be able or want to create the new products.

Extreme Customer Focus Prepares for the Future

Insurers can prepare for autonomous vehicle adoption by establishing an extreme customer focus, dedicated to establishing enduring loyalty as insurance needs change. Loyal customers spend 67% more over three years than new ones. As the insurance marketplace opens up to the sale of ancillary services, gaining wallet share from loyal consumers will certainly help to boost revenues as demand for traditional products decline, but to stay competitive, insurers will need a broader mix of coverage types.

While current coverages have remained largely unchanged over the decades, the coming years will see an industry in flux as insurers phase out outmoded types of coverage while phasing in new products and services. In this environment, the platform ecosystems may be the most critical aspect of bridging the gaps.

Today, they allow insurers to fulfill the needs of price-sensitive consumers while also meeting the evolving needs of their customers. Tomorrow, platform ecosystems will provide the “flexible business model and diverse product mix” that Deloitte says will be critical to success for insurers in the autonomous age of driving.

Top 10 Claims Trends That Will Affect 2018

2017 will be remembered as the landmark year for digital transformation of claims processing within the property/casualty insurance industry. After all, it was the year we saw the use of drones for home roof inspections, auto appraisals via photos, customer video chat and bots used in claims processing. While many of these solutions have been topics of discussion in the industry for quite some time, insurers began to implement them in earnest through new technology during 2017.

Here’s a deeper look at what we think are the top 10 reasons why 2017 should be considered the kickoff year for digital transformation in insurance claims.

Big data made a big splash

While big data has been widely used within insurance underwriting for several years, in 2017 we saw multiple and varied big data claims applications emerge. For example, LexisNexis Risk Solutions rolled out Claims DataFill to a number of insurers that were seeking actionable data at first notice of loss (FNOL) to expedite the first report and collect critical data needed for claims adjudication. This solution accelerates the claims handling process. You can find many other examples of innovative big data applications within the insurance sector in this 2017 recap blog post, written by LexisNexis Risk Solutions CEO Bill Madison.

The “touchless claims” vision became real

As digital capabilities become more robust and customers increasingly demand digital in every aspect of their lives, fully automated claims processing is evolving into a strategic imperative. In a recap of our Future of Claims Study, you’ll see that the compelling vision of the “touchless” claim is turning into a reality. Insurers are accelerating their movement along the automated claims processing continuum to drive greater efficiency, increase profitability and, most importantly, deliver a better customer experience.

Photo-based appraisal displaced in-person auto appraising

Speaking of touchless claims, insurer Allstate demonstrated its commitment to a more virtual claims handling approach through the closure of its drive-in appraisal centers in favor of photo-based appraising, made possible through its QuickFoto mobile app claims option. The company also made additional investments in other digital technologies that support photo-based appraising, including their Virtual Assist solution for auto body shops. These investments are already reaping benefits for Allstate in terms of faster customer service and greater process efficiencies.

See also: Disruptive Trends in Claims Cycle (Part 1)

Drones became the new “insurance inspector”

With four hurricanes striking the U.S. in 2017, drones were quickly put to work to allow insurers to accelerate roof and exterior inspections. A drone could also travel into flooded areas to give adjusters access even before the waters subsided. There were several media spots highlighting the use of drones in claims, including NBC’s Today show, where executives Glenn Shapiro of Allstate and Patrick Gee of Travelers were interviewed about the benefits of drones for expediting home claims. In 2017, we learned that using drones can shave several days off claims processing time, free human resources for more valuable and strategic tasks and save insurers money.

Interactive features strengthened relationships with customers

The digital world offers a plethora of tools that can help insurers improve every aspect of the claims process, from FNOL through closure. A very important element in the entire process is the customer experience. Features such as video chatbots that can interact with customers on simple processes, voice analytics that sense customer mood and behavioral analytics that predict customer needs not only increase efficiency but also create a stronger connection between insurers and their customers.

Chatbots became sociable

Consumers spend a lot of time on social media, so Progressive Insurance is meeting up with them online. In October 2017, the company announced the launch of its artificial intelligence chatbot on Facebook Messenger. Prospective and current customers can access the chatbot through the company’s Flo’s Facebook fan page, thereby extending Progressive’s reach to upward of 1.4 billion active Messenger users. Including these types of AI features in customer outreach capabilities is likely to become standard practice, as insurers continue to digitally transform their businesses to remain competitive and better serve their customers.

Claims apps became integral to the claims processing digital transformation

While undergoing a digital transformation is, in some aspects, unique to each insurer, a simple three-step strategy serves as a useful common template. Step three in this strategy is embracing the right tools to meet business needs. Insurers now have a broad suite of options and applications available to help them digitally transform their organizations for the best outcomes. Options include mobile capture, process intelligence, customer communications management, robotic process automation and case management.

Telematics entered its next phase

Telematics has proven itself as a foundation for usage-based insurance, providing valuable information to the insurer while helping customers become safer drivers and reduce their premiums. But the technology is far short of maturity in terms of the broader value it can offer both customers and insurers. This forward-thinking LexisNexis Insurance Insights blog post explains the telematics opportunities that lie ahead in the areas of customer care, process improvements and better data to drive stronger decision making. For example, telematics shows great promise for driving more efficient claims management as well as helping to prevent fraud through real-time alerts and an expedited claims cycle.

See also: Global Trend Map No. 6: Digital Innovation  

Accessing police records became easier and more accurate than ever

Police reports have long been an integral part of claims processing. However, accessing the reports and rekeying important information from them is time-consuming, can result in inaccuracies and doesn’t take into account the future value of the data. Automated police record retrieval has changed all that. Claims adjusters can now instantly order and retrieve police report data in real time, then automatically integrate that data and its data elements not only into an existing claim but also into the claims system for future retrieval. These capabilities create greater efficiencies and also enable insights that can drive future decision making. Automated police record retrieval promises to be a game-changer for the industry.

AI transformed the customer experience

Often associated with a negative event (like an auto accident or a personal property loss), contacting an insurance agent is typically not top on the list of things customers want to do. AI is changing all that. 2017 marked the year that AI came into its own within the insurance industry in a number of ways, including providing a much more compelling and satisfying customer experience. For example, the insurance industry is exploring multiple ways to leverage AI in claims to enhance the customer experience and shave days off claims processing time. Additionally, AI enables personalization that enhances the customer relationship without any human interaction required.

Clearly, 2017 was the year of innovation implementation for claims. With so many promising new technologies and capabilities gaining traction and establishing a solid foothold within the industry, the future looks very bright. We expect to see acceleration in claims automation during 2018 as companies build on the technology advances of the 2017.

How to Remove the Roadblock for UBI

Once upon a time, the auto insurance industry relied on motor vehicle reports, drivers’ records, business addresses, financial credit reports, claims histories, policyholder-stated VIN and mileage information, etc. to make an underwriting and rating decision. This scant information provided a fuzzy picture of risk, at best, so insurers built in a pricing cushion to protect against losses and figured it all out at the end of the year.

Fast forward to today, and insurers have volumes of real-world driving data at their fingertips to inform more precise underwriting and pricing. With the proliferation of telematics devices, whether after-market or factory-installed, and mobile tracking and recording apps, we now can know where, when and how an individual vehicle is driven. We can know area and hours of operation, driving behavior, route histories, vehicle performance characteristics and much, much more. We can even re-create collisions using the data.

With data-driven usage-based insurance (UBI), we now can formulate a clear picture of driving risk and remove the guesswork. In short, we have the potential to write for a group of one, based on observable, verifiable data.

Some numbers to consider:

  • Currently nearly 30% of all commercial vehicles have some form of telematics device installed. This figure is expected to reach 70% in 2017. (C.J. Driscoll & Associates)
  • Today’s telematics devices record nearly 300 billion miles of driving data annually.
  • 94% of all small businesses report using smartphones in their businesses. (2014 AT&T-SBE Council Small Business Technology Poll)
  • Approximately 30 auto manufacturers (original equipment manufacturers, or OEMs) are busily equipping vehicles with data devices today.
  • More than 70 telematics service provider (TSP) fleet management services companies in the U.S. are equipping trucks, cars and utility vehicles with telematics.
  • More than half of small fleet managers are likely to stay with their current insurance carriers if their insurer offers UBI (Lexis Nexis’ 2015 Commercial Usage-Based Insurance Study)
  • Global sales of insurance telematics products are projected to grow at a compound annual growth rate (CAGR) of 80% from 2013-2018, and the subscriber base is expected to reach 85.5 million in 2018. (Research & Markets).

We are quickly reaching a tipping point for UBI programs that rely on data collection and analysis as the basis for a “pay how you drive” approach to auto insurance.

However, insurers looking to take advantage of this driving data face some tough questions: Where does all this data come from? How is it collected? How can different data sets be normalized? How can insurers store, analyze and manage such a huge volume of data?

The solution for insurers large and small very likely will be a telematics data clearinghouse.

Multiple Data Sources: OEMs, TSPs, Mobile Apps and More

The first problem insurers face is negotiating with 70 different TSPs and 30 OEMs for their data, which adds complexity, time and expense to the process of acquiring the driving data needed for an effective UBI program. A clearinghouse solves the problem of accessing data on millions of vehicles by aggregating data from available sources. Rather than negotiate with dozens of data suppliers, an insurance carrier merely subscribes to the clearinghouse for access to all of that data, at a single price. 

Multiple Formats: Not All Data Is the Same

With so many data sources, each using different telematics devices and software, pulling data from different types of vehicles, the aggregated data is a jumble of formats, with no two data sets the same. A clearinghouse plays a critical part in scrubbing, authenticating and normalizing this data for handoff to underwriting.

Making Big Data Digestible… One Byte at a Time

UBI represents a monstrously big IT effort for an individual insurer. With nearly 300 billion miles of driving data available, we’re talking about petabytes of data to acquire and analyze. Even the largest insurers must weigh the benefits of devoting precious IT resources to developing and running a complete UBI data collection, storage and analysis effort. In contrast, a clearinghouse is built to manage big data in a big way, delivering a clean, authenticated data set to the insurer, integrated seamlessly into the underwriting process for easy access and use.

Evolution of a Safe-Driving Scoring Standard

With access to data from millions of vehicles, a clearinghouse is also able to provide comparative analytics and calculate a fleet’s safe-driving score, the driving equivalent of a FICO financial credit score and a much more accurate predictor of risk. A complement to current driver score cards offered by many TSPs (which measure individual driving behaviors such as speeding, harsh braking and hard cornering), a fleet score factors in all drivers, as well as the vehicles they drive and the environment in which they drive. The fleet score analyzes variables including weather, time of day, road surface and traffic dynamics. An overall fleet safety score compares fleets of similar SIC codes and territories to derive an indexed score and ranking – a meaningful risk assessment and underwriting tool more powerful than anything else in use today.

Data Privacy and Protection: Permission-Based

Yet another crucial role played by a clearinghouse is data protection and privacy. Clearly, the vehicle owner owns the data generated by that vehicle in the course of a driving trip. But once it is in the UBI transaction chain, how is that data protected? Who sees it, and what is done with it? The clearinghouse serves as gatekeeper. With the consent of the vehicle owner/policyholder, the clearinghouse facilitates the secure sharing of encrypted data with the insurer, allowing the data owner to control who sees the data and why. Such protection encourages voluntary participation by vehicle owners, helping fuel the growth of UBI. 

Data Transparency and Portability: You CAN Take It with You

Data transparency and portability go hand-in-hand with data ownership. As a consent-based data sharing service, the clearinghouse offers complete transparency to the data owner. The vehicle owner knows what data is being requested and has the option of permitting or denying access. The clearinghouse allows the data owner to share his data and driving safety score with multiple insurers.

Data Clearinghouse or Data Exchange: What’s the Difference?

Aggregated driving data services are taking different forms. While all share the purpose of providing a “one-stop” storehouse of driving and vehicle data, they do not all operate in the same manner or provide the same services.

The primary distinction can be explained as an open marketplace vs. a closed system.

As an open market, a clearinghouse merely facilitates the transfer of data from vehicle owner or TSP to insurer. The insurer then underwrites a policy based on this data (and other factors the insurer deems important) and determines a policy premium. In this open system, there are no regulatory filings required; data is used in the insurer’s existing underwriting process, and the insurer retains complete control over pricing, applying credits as warranted. Furthermore, the marketplace determines the value of the data: How much is an insurer willing to pay for detailed trip histories, for example?

In contrast, an exchange uses driving and vehicle data to compute a rating and pricing recommendation for the insurer. Because the exchange is determining price, this rating system must be filed with state regulators. In this closed system, the exchange assumes the role of underwriter and pricing specialist, leaving the insurer with little room for proprietary pricing, segmentation or differentiation. The exchange controls the data and the insurance product.

Data-Driven, UBI: A Return to Profitable Auto Underwriting

UBI offers auto insurance carriers an unprecedented view of vehicle use and driving behavior. Insurers that embrace UBI and develop a data-driven underwriting and ratings process will benefit from more consistent underwriting, improved segmentation and better selection. Those that do not will likely suffer from adverse selection and an underperforming book of business.

The key to successful UBI adoption will be access to, normalization of and correct interpretation of all this data. Undoubtedly, auto insurance carriers will be hearing more about the clearinghouse concept and the pivotal role it plays in UBI.