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Customer Experience

How Spatial Technology is Transforming Customer Experiences in the Insurance Industry

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Using Spatial Technology to Improve the Customer Experience in the Insurance Industry…While Increasing Profits

Customer experience in the insurance industry is a hot topic, and it’s easy to see why. A strong customer experience is the key to growth and profitability, requiring many companies to focus on differentiating their customer experience to stay ahead of the competition. However, despite the obvious benefits of cultivating happy customers, many insurance providers struggle with how to deliver a great customer experience and increase profits.

You must find ways to maintain the integrity of your business alongside ways to serve customers better – because if you don’t someone else will. In a 2016 letter to his shareholders, Amazon CEO Jeff Bezos explained that being customer-centric is about staying ahead of customers and developing new ways to keep them happy. Bezos says that if you shift your focus from trying to create great customer experiences, then you’re already on your way down.

Insurance providers are concerned that providing better customer experiences could conflict with the established rules and processes they’ve developed for risk selection and pricing. This certainly doesn’t have to be the case. The solution is using a spatial technology platform that supports and strengthens existing workflows while helping develop meaningful digital experiences for customers.

Digital Customer Experience in the Insurance Industry

In today’s tech-enabled world, your customer’s digital experience plays a huge role in how they perceive your company. Your website is often a customer’s first touch-point with your company and will be the first time they assess if you can meet their needs. Studies show you’ve got less than 1 minute to convince website visitors whether or not they should try your product or service. In insurance, that translates to showing customers they can expect fair pricing and an efficient turnaround time.

That’s where your spatial technology platform comes in.

Use Spatial Technology to Deliver What Customers Want

People expect online experiences to be simple and intuitive and they are accustomed to instantly accessing the information they want. In the insurance industry, providing a great customer experience means being able to quickly deliver information or a plan for coverage. Leveraging a spatial technology platform enables automation and self-service, making the process of generating insurance quotes and pricing simple, fast and efficient.

More and more insurance companies are experiencing the transformative effects of automation, including improved accuracy and efficiency. Data gathered by customer inputs can be automatically delivered into your underwriting process, and remain consistent with the risk selection and pricing models developed by your company’s actuarial/risk group. A well-defined process can easily interface with a spatial technology platform to automate inputs for calculation resulting in instant assessment and pricing.

Spatial technology platforms deliver location-based insights, including tools like geocoding, digital mapping, data analytics and visual dashboards, helping insurers use location intelligence throughout the policy lifecycle to deliver on client needs without sacrificing profitability. Using automated workflows, your spatial technology platform will geocode addresses in real time providing high precision coordinates, and automatically cross reference this data with the appropriate risk factors within your risk assessment models and pricing engine.

In addition to improving profitability by streamlining customer’s access to plans and policies, spatial data paired with customer information can also be used to assess additional plans that consumers may not realize they could benefit from, therefore offering ample opportunity for your company to cross-sell or upsell additional plans and features.

Using Spatial Intelligence to Improve Risk Assessment and Pricing

A strong spatial technology platform provides the location-based insights and analytics necessary to support underwriting, exposure management and claims. This data allows you to improve auditability with defined automated rules and quickly aggregate and visualize location information for more effective and accurate analysis when determining risk.

Real time location intelligence helps insurers quickly respond to policy applications, catastrophic events, and claims with greater accuracy. The ability to apply geographic coordinates (geocoding) to the property of interest offers insurers the ability to associate complex data sets with those coordinates, enabling deeper insights on concentration risk and exposure to hazards. This includes earthquakes, flooding, windstorms and more. These insights can better enable no-touch, low-touch adjudication processes, or provide better insights through visualization for exception handling or portfolio risk analysis.

Finally, the data on a strong spatial technology platform is continually updated to reflect the most current, precise location data, improving risk assessment to ensure accurate pricing.

DMTI Helps Insurance Companies Improve the Customer Experience

When it comes to developing a great customer experience in the insurance industry, it’s important to keep things simple. Companies now have the tools to gather data on what customers want and need to keep them happy, loyal to your brand, and refer you to other potential customers. Using spatial technology, you can manage and monitor risk exposure in real time, with complete location data on one platform.

DMTI is the gold standard for GIS and location-based data in Canada, offering insurers scalable on-demand tools that support real time workflows. DMTI Spatial’s Location Hub® & UAID® is the only solution of its kind in Canada, and supports you company’s risk assessment process by delivering data visualization tools, and data delivery infrastructure to provide high-precision location accuracy.

Click here to find out how DMTI will help your insurance company experience greater growth and profitability.

IoT and Location Intelligence

5 Industries Being Transformed by IoT and Location Intelligence

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Read to learn how the fusion of location data with the Internet of Things (IoT) is making organizations smarter and more efficient across industries

So many devices around us have steadily gotten connected to the Internet that we hardly even notice how extensive the Internet of Things (IoT) ecosystem has become. Our computers and smartphones may be the most obvious IoT players, but today, everything from household items to manufacturing machinery has been embedded with sensors which are generating and streaming data without any kind of human intervention.

Given this pace of proliferation, Gartner says we should expect to see more than 20 billion Internet-connected devices by 2020. And McKinsey maintains that IoT applications could have a global economic impact to the tune of $3.9 trillion to $11.1 trillion per year by 2025. These incredible figures start to sound all too plausible when you look at the developments closer home.

According to IDC Canada, over 45% of Canadian organizations today have dipped their toes in the IoT pool and the IoT market in the Great White North alone is predicted to reach a value of $13.5 billion by 2019. When you consider how IoT is giving businesses access to knowledge they could never tap into before, the optimism for IoT applications gets more than justified.

IoT sensors generate a massive amount of data every day. To both increase revenue and decrease costs, all companies need to do is know how to extract actionable insights from the information at their disposal. Many industries have discovered that the best way to do that is to tie disparate information streams together using an easy-to-recognize context called location.

By using precise location data, organizations can easily visualize what is happening where. And by analyzing historical data bound by spatial awareness, they can map trends and use these insights to optimize business processes.

Let’s dig a little deeper into how various industries are becoming smarter and more efficient by fusing IoT with location intelligence:

Smart Cities

Urban analytics is an essential component of smart city development. IoT and location intelligence are allowing governments and municipal agencies to quickly gather regional insights to identify inefficiencies as well as environmental impacts and risks. For instance, smart sensors on wheels can not only identify most congested areas, they can also provide a telling picture of pollution hotspots. Further, IoT and location intelligence are also creating ladders of opportunities for businesses. For example, the Canadian city of Mississauga publishes its real-time bus locations as a live open data set. A gallery can easily use that information to tell a commuter about an art exhibit they could visit at the next stop.

Supply Chain and Logistics

The marriage of IoT with location intelligence is bringing greater levels of transparency and efficiency in the supply chain, and changing the playing field for organizations that deal with logistics. Embedding tags in cargos is leading to an unprecedented ease in asset tracking and tracing – both during in-freight operations and at the time of inventory management in a warehouse. Distribution centres are also able to manage their yards more effectively by providing up-to-the-minute directions to truckers based on the type of goods they are carrying. And businesses even have an opportunity to provide early intervention in case an asset goes missing or is out-of-place.

Consumer Retail

A study undertaken by Deloitte and the Retail Council of Canada has found that retailers are using smartphone-based traffic analysis to understand the foot traffic outside and inside stores during different times of the day. This data is helping retailers to implement strategies to grow in-store traffic at preferred times. But that’s not the only way how location intelligence and IoT are transforming consumer retail in Canada. Retailers are also using these technologies to execute everything from offering in-store navigation to identifying profitable locations for new stores.

Insurance Companies

According to PWC Canada, 63% of insurance CEOs are convinced that IoT will be strategically important for their organization. And location intelligence is a natural fit for this bundle. Sensor data backed by spatial awareness can give insurance providers first-hand information about what happened, improving their ability to proactively address claims. Insurance companies can also use the location-backed data to improve their risk rating, detect fraud, and improve customer loyalty. For instance, a car insurance provider can offer discounts on premiums to its customers based on their real-time driving data.

Energy and Utilities

Providing reliable, high-quality and uninterrupted service requires a great amount of visibility and control across the entire utility network. IoT and location intelligence make that possible in ways more than one. Peterborough Utilities Group in Ontario, Canada efficiently manages outages and voltage discrepancies in its distribution network by using IoT to capture multiple data points like temperature, board status, etc., every few minutes from its metering points. Meanwhile, BC Hydro, the chief electric utility for British Columbia, has found that it can restore power faster and isolate faults to the smallest possible area leveraging an IoT-based smart grid system.

Clearly, location awareness is indispensable for an effective IoT network. Location intelligence can provide both context and relevance to an organization’s decisions supported by sensor data and open up a wealth of opportunities for smarter growth.

To know more about how you can benefit from adding precise location data to your IoT setup, contact us.

Additional Reading:

5 Ways Canadian Retailers Should Be Using Location Data and Technology

Predictive Analytics Data

Gone fishin’… in a data lake? Predictive Analytics Launch!

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Our new Predictive Analytics product launches in less than 2 weeks! As we approach this exciting milestone, we anxiously anticipate the loud ‘splash’ when LEADS (the codename for the product) finally hits the market. I use splash somewhat literally and quite purposefully, as we reside in the era of the “data lake.”

What is a Data Lake?

 The buzz term data lake is progressively used to describe “a state in which all data resides in one environment and can be explored and interpreted without imposing a schema”. Martin Willcox of Teradata eloquently describes the data lake as promoting three big ideas:

  1. Captures data in a centralized Hadoop-based repository
  2. Stores data in a raw form
  3. Enables the breakdown of barriers that inhibit analytics

Picture yourself fishing in a small canoe in a vast open body of peaceful water. As you peer over the side of the canoe you can see clearly beneath the surface into a limitless sea. Within the waters you can see hundreds, if not thousands, of fish swimming carefree. Each fish is a different color and each fish carelessly brushes against your line. As each fish passes your fishing rod tremors, but it is not until the right fish decides to take the bait that you begin the experience of fighting for your prize.

New Insights are Coming from DMTI

Welcome to the data lake. Each fish is a new variable or piece of data you may or may not have seen before. This intelligence you have been exposed to will allow you to gain the valuable insight from a sea of information that is seemingly too difficult or disparate to collect yourself.

This is what LEADS will do. Stay Tuned!

Click here to see DMTI’s GIS Mapping software solution.