There’s no doubt that the pandemic has upended the business processes of every industry, insurance included. Consumer behavior has shifted dramatically, and players within the sector have had to rethink priorities for 2022 and beyond.

At the end of 2021, Deloitte released the insurance industry outlook for the upcoming year, which revealed the initiatives companies planned to focus on as the “new normal” emerged. Among them, was a large interest in insurance software with data analytics.

“67% of respondents are looking to boost investments in data analytics.”


With the data volume growing rapidly thanks to the digitalization of the modern world, it’s easy to see why business leaders within the insurance industry are eager to engage data analytics service providers. After all, it’s where all the customer behavior and risk insights lie.

Today, we’d like to dive deeper into the priorities industry leaders have specified for the near future and how data analytics tools for insurance can help address them. Let’s get started.

Why Should Insurance Firms Care About Data Analytics

Why Should Insurance Firms Care About Data Analytics

According to Deloitte, there are a few clear priorities for insurance industry leaders amidst the world’s post-COVID recovery efforts. Interestingly, most of them relate to data analytics as it can either help companies reach the set-out goals or play an invaluable role in ensuring good performance. Let’s take a closer look at each one.

Cost Reduction

First and foremost, insurers are looking to cut costs due to the mounting pressure on their bottom-line from rising inflation, financial losses from climate risks, and other factors. However, they are not necessarily trying to simply reduce spending, but rather to reinvest in digital capabilities.

Interestingly, data analytics can help with cost reduction in insurance through, for example, improving claims processing. By relying on predictive modeling, potentially fraudulent claims can be detected and dealt with. Thus, reducing unnecessary costs.


With consumers indicating a preference for greater customization of services, businesses are looking to invest in technologies that can help cater to these needs.

This is another major priority for insurance companies and data analytics might be precisely the best way to achieve a good level of personalization. For instance, by allowing the acquired information about customers to be analyzed for behavioral patterns that can determine custom policy prices or optimal ways to tailor marketing campaigns.

Find out more about Hyper-Personalization in Insurance

Underwriting Automation

In North America, increasing automation of underwriting processes is a top priority among insurers. Some are interested in going beyond streamlining routine tasks and eager to leverage artificial intelligence and advanced predictive tools to boost underwriter capabilities.

As you know, the underwriting process is filled with strenuous repetitive work of going through customer information to figure out the appropriate policy price to charge. Well, by embracing behavioral analytics and machine learning algorithms the speed of acquiring crucial insights can be boosted and the accuracy improved.

Data analytics can be game-changing in insurance underwriting thanks to the ability of autonomously going through myriads of digital information. So, definitely don’t underestimate this technology.

Discover how Velvetech eliminated 99% of routine tasks with an Onboarding and Underwriting Software

Cloud Migration

Many insurers are looking at cloud infrastructure migration since it can greatly reduce expenses while facilitating innovation and agility. Moreover, business leaders realize that modernizing legacy systems through the cloud can help implement analytics and automation tools that will have an impact across entire insurance operations.

So, if cloud adoption isn’t on your list of priorities, we really suggest you reconsider. It is evident that the cloud is a great enabler for fruitful digital transformation and in the modern day, whichever company is able to leverage it in the best manner will win.

Attracting Talent

Many insurance companies are also facing the challenge of recruiting skilled talent. Particularly, specialists with advanced IT skills.

“It’s getting harder to find skilled candidates in a number of functional areas—with information technology topping the list in terms of degree of recruiting difficulty.”


As you can imagine, this can hinder the efforts of implementing new technologies into the business. Especially if the organization doesn’t consider outsourcing software development. Yet, some hope may be hidden within data analytics as it can empower commercial insurance companies with the ability to scan thousands of profiles of potential recruits and identify most promising ones.

How to Deal With the Shortage of Software Developers

Lack of Developers

Find out how to deal with the lack of IT talents without compromising project delivery.


Finally, with the amount of digital information steadily growing, so is the potential for security breaches. As a result, insurers are eager to double down on cybersecurity projects that help keep customer data safe and well protected.

Whether it’s preventative measures or post-incident procedures, companies are looking to improve threat management approaches to minimize risk. It is clear that cybersecurity and data privacy are top concerns for insurance brokers and carriers, so it’s a good thing that data analytics can come to the rescue.

Find out how Velvetech Helped a Healthcare Startup Avoid Security Breaches

Now, you might be asking yourself, “Сan all these priorities and concerns really be addressed with data analytics in insurance?” Well, it seems so. At least, most of them can.

Keep on reading to find out how.

Insurance Data Analytics Benefits

First of all, let’s get on the same page with our terminology.

We define data analytics as a process of quickly analyzing digital information to discover hidden insights, forecast upcoming events, and answer important business questions to facilitate decision-making.

Since insurance industry operations are pretty much entirely based on data-driven processes, it’s unsurprising that proper analysis can be applied to many areas of this sector. So, today, we’ll focus on four key benefits of insurance data analytics and discuss how it can help tackle some of your prioritized tasks in this industry.

1. Lead Generation

Data Analytics for Lead Generation

Competition is fierce within the insurance industry. Every day your business is fighting for new customers, and the only way to do that effectively is to know who you’re fighting for and what it is that they need.

Luckily, the Internet is filled with that information. Ad networks, website performance monitoring platforms, and other channels you leverage for boosting your online presence, all accumulate valuable prospect data.

Now, it is certainly difficult to make sense of all that information by yourself and use it for lead generation. However, this is where smart analyses can help. Algorithms can identify behavioral patterns and draw them out for you.

Which channels bring in the most lucrative customers? Which campaigns tend to get the best user interaction? All of this can be discovered and leveraged with an analytical platform.

2. Customer Service Enhancement

Insurance Data Analytics for Customer Service Enhancement

Insurers have a lot of customer data at their disposal. Whether within a CRM system or from individuals sharing it willingly to secure a good insurance offer. However, not all companies make the most of the available digital information. Often, it is just collected, looked over during underwriting procedures, and never returned to for a deeper analysis.

This is unfortunate because customer data contains invaluable insights about what it is that your clients truly desire. So, if you make the most of software solutions that can analyze it — you’ll be able to anticipate these needs and deliver better services.

Moreover, if you recall, customization is one of the top priorities for insurance firms. Acquiring personalized policies is of utmost interest for clients, and insurers have to offer this opportunity to stay competitive.

Once again, data analytics in the insurance sector can come to the rescue. By quickly scanning myriads of customer data, analytical solutions can determine which type of policy will best suit a potential client and recommend it to them.

Additionally, platforms with AI-Powered Call Analytics can guide your sales staff throughout any client-agent interaction and gather intelligence to ensure the customer gets precisely what they are looking for as fast as possible.

Find out how a leading insurance firm benefited from a Real-Time Call Analytics Platform

3. Policy Issuance Simplification

Policy Issuance Simplification

A somewhat more innovative data analytics use within the industry is for policy issuance. Specifically, self-servicing.

Thanks to modern technology, if your firm utilizes portals for customers to manage their policies and deal with any potential issues, informative data can be continuously collected and analyzed to identify clients who might be interested in an upgrade, modification, or a new policy.

For instance, data analytics can make smart recommendations precisely at the time when a policyholder is looking to purchase additional insurance or one for a family member. Thus, simplifying the process and helping deliver a better service.

4. Costs Optimization

Insurance Costs Optimization

Whether you’re in auto, health, or life insurance, data analytics can help you optimize costs like never before. At a time when spending reduction is a top priority for business leaders, this is an especially valuable benefit.

Since predictive analytics tools can scan enormous amounts of digital information, risky individuals who might be inclined to fraudulent behavior can be quickly identified. Thus, leading to a reduction of costs from dealing with fraudulent claims.

Moreover, faster claim management in the insurance industry can also be achieved with the help of data analytics. Automated data processing can simplify and speed up existing procedures to reduce time-consuming labor, thus decreasing personnel-related expenses.

Of course, you’ll have to think about custom software development costs if choosing to pursue this kind of an undertaking. However, despite the at times significant initial investment, the final solution will end up saving you money in the long run.

Webinar: Exploring Business Intelligence

BI for Business

Find out the secrets of how business intelligence boosts operations and what BI tools and practices drive data analysis.

Is Your Business Ready For Insurance Data Analytics

Data analytics in insurance may well be considered the industry’s golden ticket to better services and higher profits. However, with so many firms already looking to up their investments into such digital initiatives, it’s important to not fall behind and be stuck with outdated processes.

So, if you’d like to look into insurance software development for your organization — don’t postpone reaching out to discuss your needs. Velvetech’s team is highly experienced in data analytics consulting services and building solutions that cater to client requirements and boost the bottom line. We’d be happy to help.

Get the conversation started!

Discover how Velvetech can help your project take off today.