Insurance Technology
Article | July 14, 2022
The blockchain has penetrated the mainstream. We predicted this in our 2019 article “Blockchain-as-a-Service: the Accelerator for Blockchain Adoption” where we talked about the technology's ease of integration. Companies can seamlessly adopt blockchain technologies by referring to existing use cases like smart contracts, data authentication, and asset management. They can also take advantage of open-source materials.
With the blockchain's accessibility on top of its formidable qualities, it’s no surprise that the digital ledger system is being integrated into every industry–from banking and healthcare to gaming and cybersecurity. As a cornerstone of the rise of financial technology or fintech, another industry it’s now serving is auto insurance. Here’s how the blockchain is revolutionizing the auto insurance industry:
Benefits of the blockchain in auto insurance
Multiple back-and-forths can slow down the manual processing of both insurance contracts and filed claims. Blockchain-based tools can speed this up by accessing necessary information through the data network. Insurers can easily access and verify the personally-identifiable information (PII) required for insurance contracts via the blockchain, as well. This means no lengthy coordination with other parties, shorter queuing time, and less paperwork.
Moreover, the blockchain helps those who buy auto insurance worry less about their PII being used by malicious individuals and organizations. Monash University asserts blockchain security effectiveness by pointing out how its design can alert any network of even the most minor changes to the data it contains. This is because blocks containing data are marked with hashes–input strings of computation characters–that become invalid when information is modified. When hashes become invalid, the network is notified. With such a prompt and responsive alert system, insurance agencies can easily detect hacking activities to protect sensitive data.
Blockchain applications in auto insurance
The most significant benefit of the blockchain’s application in auto insurance arguably lies in optimizing property and casualty (P&C) insurance verification processes. Sound Dollar defines property and casualty insurance as coverage for any damage the possessions stipulated in your contract incurs. Blockchain-based tools, like smart contracts, can immediately gather relevant information from an insurer's network to verify damaged possessions. It can also identify which ones are covered by your insurance contract. This streamlined verification process saves insurers billions of dollars in operational costs and makes filing a claim much easier for the client.
The blockchain can also be used to minimize and prevent fraud. Some of the best blockchain-based tools can identify whether an individual claims payouts from multiple insurers. These tools cross-check PII and non-PII with salient information from claims filed elsewhere to check for similarities. Moreover, the Insurance Innovation Reporter found that advancements in anti-fraud blockchain technology can detect third-party helpers, such as garages and brokers. This enables insurers to expand their data on fraudulent networks and prevent future cases of fraud.
Challenges to full implementation of the blockchain in auto insurance
Before full-on integration, developers and businesses have to address data integrity. While blockchain data cannot be edited, it does not ascertain that encoded information is true. This means data has to be verified before it's encoded on the blockchain. Blockchain-based technology is also expected to become more expensive in the coming years. As it becomes mainstream, demand for the technology and relevant development research will further drive operation and maintenance costs upwards.
There is still much work to be done if the auto insurance industry wishes to fully integrate the blockchain into its workflows. But with the long-term benefits it brings, insurers and clients alike will undoubtedly look to blockchain-based technology for improved services and a better overall experience.
Read More
Insurance Technology
Article | July 15, 2022
A quick Google Trends search on data reveals that data analytics, data and analytics, data analysis, and predictive analytics have steadily grown in popularity among businesses across industries.
These terms peaked when business leaders searched for ways to increase ROI and reduce business costs and tech-based investments. The insurance industry is amongst the industries actively leveraging data analytics.
The rising importance of analytics in insurance has made CMOS take note too. As agility became more important in the insurance industry, more than 85% of global businesses shifted to a data-driven model.
The purpose of taking you back is to emphasize that, as a CMO, now you need to churn accurate data and turn it into relevant information. This is a necessary model to practice to make the right decisions or will improve the decision-making process.
Without data analytics, you are deciding in a void, and that’s not considered good practice. Forrester reports that 41% of insurance companies faced challenges in extracting data and making decisions based on it in 2020.
Take a look at how and what you can do with insurance analytics to cater to better insights into your decision-making process and, finally, ROI generation.
Bring Data to These Key Levels of Departments
Marketing
Analytics in insurance raises the bar in terms of marketing. As you know, marketing results frequently fluctuate, making data insights challenging to capture. CMOS who base their decisions solely on outcomes usually loses sight of making sound decisions due to unstructured data.
Therefore, it is essential to have an aligned platform for data analysis in insurance. To begin with, marketers must understand the various types of data analytics available. Most insurance marketers employ descriptive, predictive, and prescriptive analytics, among others. This will assist them in strategizing based on continuous data insights from various sources for any given initiative.
Sales
Sales leaders can also improve how they spend their time by using data analytics to create more accurate sales forecasts. However, the question is, how will they do it efficiently?
CRM software is the answer and solution to them. The software performs best because of its analytical capabilities in combination with data visualization, particularly predictive functions. It generates enormous amounts of data on customer interactions, which can then be used to inform decisions. You can assemble relevant data and use it to make some decisions, such as:
Acquisition and management of leads
Lead segmentation
Sales funnel optimization
There is enormous value in optimizing productive data by focusing on prospects likely to become loyal customers.
Operations
Utilizing data analytics in insurance boosts insurance operations. Small changes help to align a wide range of core processes. You can access data obtained from operations, observe key aspects of the overall processes, and make appropriate decisions. A targeted, timely, and data-driven approach will help you make decisions about these key functions, which can lead to business growth in the long run.
Bain's research in 2019 reports that seventy insurers were polled. They say data analytics will reach 58% in the marketing funnel and 45% in business operations.
Begin with Overcoming Barriers to your Decision-Making Process
Use Data to Identify Customer Patterns
Information from data can identify patterns. As mentioned above in the sales section, CRM's predictive modelling and the popular Google Analytics' descriptive overview are the two best platforms for identifying customer patterns.
What is the best way to get pertinent data? Data mining is the answer to it. Do you want to know about it? Then read data mining for pattern evaluation now!
As a CMO, you're probably aware that behavioral patterns are highly predictable and can sometimes result in unsatisfactory outcomes. This occurs when you are unable to obtain relevant data. And you end up performing ineffective marketing activities. To assist you in overcoming it, an AI-enabled platform can reduce the level of effort and provide the necessary data to study your customers' patterns in real-time. This is how you will notice a significant increase in sales.
According to research by McKinsey and Company, automation saves 43% of insurance employees’ time.
Segmenting Sales Plans
Following the establishment of your customers' patterns, segmenting the insurance sales plan is a necessary step. In this process, analytics provide detailed information about customers, allowing you to make decisions about sales functionalities. This will undoubtedly reduce the time, energy, and effort you previously spent.
Accurate customer segmentation and sales forecasting can also help tailor marketing efforts, improve the sales funnel, and keep sales strategies in check.
When Media 7 contacted Vishal Srivastava, Vice President (Model Validation) at Citi, here’s what he said about data segmentation through data analytics.
CMOs must ensure that adequate data quality checks have been performed, The goal is to ensure a scientific approach to data segmentation, sampling methodology, and data outliers, which can significantly impact revenue forecasts.”
Pricing & Savings
Analytics in insurance marketing can help CMOs make cost-cutting decisions and become more cost-effective in marketing efforts. It can set price ranges based on historical, current, and predictive performance. Also, analytics will help you figure out how to price things in the future, which will be good for ROI.
Keep Improving with Data to Stay Abreast with The Decision-Making Process
Better data organization in your business boosts productivity."
Warren Buffett, an American business magnate, investor, and philanthropist.
This phase is best suited to the current business environment. Implementing data analytics in insurance now will open up tremendous opportunities in the future. To make the most of them, you, as a CMO, must stick to a data-driven model for marketing actions.
Aside from that, it appears that the data analytics you select for your business must be capable of informing and driving performance. Performances ranging from risk assessment to sales forecasting and a plethora of actionable insights assist businesses in thriving.
Frequently Asked Question
How are data analytics used in insurance companies?
Data analytics empowers insurers to optimize each function and also assess risks. It also identifies trustworthy customers, which further boosts engagement.
What does data analytics mean in insurance?
Data analytics empowers insurance professionals by providing them with the business intelligence to understand their customers better, build better products and services, and thus, boost business growth.
How are insurance companies using data?
Insurers can use data to gain insights from customers’ profiles. They can review their history, behavioral pattern, and marketing needs to develop strategies and provide marketing services.
Read More
Core Insurance, Risk Management
Article | August 4, 2022
The worldwide marketplace is undergoing a host of structural changes and insurance companies are consistently working to capitalize on them. The past few years posed a number of new challenges. For an industry whose primary promise is to “be there when customers need us,” delivering top-notch timely services is not only crucial for business continuity but the most urgent goal. Inspiring trust through every process of the policy lifecycle is a significant factor for insurers to be able to maintain goodwill in the market. Recent pressures proved that the industry needs a systemic metamorphosis and digital solutions may be able to provide them.
This is also why many industries are jumping on the bandwagon of digital transformation and insurance is no different. With a barrage of new technologies, solutions and software, it has become easier to automate processes and eliminate inefficiencies that hamper day-to-day-operations. One such area of transformation is insurance policy management. Forward-looking insurers today, can start by rethinking their policy management framework.
The Importance of Automated Policy Management
Simplifying all internal processes is a priority for many insurance providers worldwide. Much of the insurer’s business outcome hinges on streamlined workflows, seamless document management and effective use of different tools. In policy management, mitigating risk is another significant aspect that impacts the bottom line. Today, insurers are heavily investing in new technologies like artificial intelligence and machine learning, robotic process automation, data analytics and much more.
Policy management entails the comprehensive process of administering policies. From pre-sale to renewal to claims, at every stage of the policy lifecycle, insurers must ensure a smooth process at every stage. Some of the stages of policy management that can be enhanced by using automated policy management tools which include:
Member services
Loss mitigation
Risk assessment
Claims processing
Policy issuance
Policy renewal
Policy cancellation
Compliance
It’s clear that insurance policy administration system (pas) encompasses all the main business processes of an insurance company and the importance of policy management is enough to invest in high-quality solutions that span the policy lifecycle.
The Must-Haves of Policy Management Software
A smart insurance policy management simplifies the process for both the insurer and the insured. For insurers, it should be able to optimize resources and save time in administering policies. For example, life insurance policy management system can help a provider scale their operation, introduce flexibility and administrative simplicity. Here are the components of a policy management solution that is a must-have for every insurance provider. For the insured, the solution can help organizations not only provide a smooth experience
Policy Issuance, Update and Cancellation
The most significant must have that an effective policy management solution should have, is the ability to digitalize every aspect of policy administration. This includes being able to generate documentation, centralize records and oversee all operations across the policy lifecycle.
For instance, everything should be synced so that any updates are made universally across all documents. This eliminates doing manual changes to all the records. In addition, with technologies like robotic process automation (RPA), repetitive tasks can be automated and reduce the time it takes to process documentation.
Underwriting
Underwriting is a process where individuals or firms take financial risk for a fee. In insurance, underwriters are responsible for evaluating the degree of risk to the insurer’s business. It is in essence a manual process that comprises extensive research and assessment of the prospective policy holder. For instance, medical underwriting consisted of ascertaining the charges to levy or even whether to provider coverage to them based on an applicant’s health condition.
Even though underwriting is a time-consuming process, it doesn’t have to be tedious. Underwriters need to access data that is spread across a range of different platforms and sources. Automated policy management enables organizations to accelerate the process of data collection and collation. This is why, automation in underwriting functionalities is one of the most important features of a policy management software that is a must-have.
Estimates and Quotes
Holistic policy management tools are incomplete without quote estimate capabilities. Quoting allows insurers to generate leads. With automated quoting features, insurers can provide estimates without having to directly contact customers, saving time and money in cold calling. In addition, it helps insurers to gather the information they need to then target their leads and tailor solutions that meet consumer expectations.
Quality policy management systems include these capabilities. They work by letting customer input their information and receive a quote estimate based on it. For insurers, in addition to providing leads, it lets them engage customers from the start itself.
Policy Renewal
Renewals is a critical stage in the policy lifecycle. Overseeing renewals and reducing customer churn is something every insurer must prioritize. Renewals handling amplifies the importance of policy management software that offer renewals management tools.
Renewals management features allow insurers to alert policy holders about the ending of their coverage and provides a timely reminder to renew it. Since renewals management tools offer ready information for insurers to access, customers need to update fewer fields. It not only reduces customer churn but contributes to an easy, fast, and customer-friendly process.
Claims Processing
Claims processing is when an insurer reviews a claim process to verify and authenticate the claim made by the policy holder. As a core business process, claims management and processing needs intelligent systemization. Insurance policy management tools that integrate claims processing will enable insurers to automate the settlement process.
Modern policy management tools sync different systems so insurers have a centralized database and can simplify tasks like assigning claims, detecting fraud, record payments issued and automatically generate reports.
Regulations and Compliance
Insurance is a heavily regulated industry and insurers must keep up with the many compliance and location-specific regulations to avoid hefty fines. Regulatory policies are also subject to change and can often realign processes to protect consumers. This may sometimes cause insurers financially. However, complying with new regulations is a business necessity and policy compliance management solutions help immensely.
Insurers must be able to monitor any changes in global and local policies or keep an eye out for announcements regarding the change in rates or regulations. Many insurers have a team to do this but maintaining a team is costly and causes operational complexities.
Modern policy management tools offer the automation capabilities that eliminate the need for extensive overhaul or insurers to keep up with new regulations. These policy compliance management tools help in detecting breach and minimizing it. They also enable better resource allocation as teams no longer need to monitor new and upcoming regulations and plan for implementing the change.
Customer Support
Customer support is one of the most critical aspects of policy management. Beyond software and applications, being able to meet your customers’ demands, address their concerns throughout the customer lifecycle is vital in order to meet business objectives on time.
With digitalization transcending platforms and devices, policy management tools today need to be able to keep up to meet customer demands. This is why mobile-ready policy management solutions are a must. They allow insurers to respond to customers quickly and keep channels of communication open and flowing. In addition, features like quoting estimates and claims processing that accelerate policy administration and management in a streamlined manner are bound to keep customers happy and reduce churn.
Some policy management tools come with marketing automation capabilities as well as a CRM that lets insurers deliver a great experience right from buying decision to ongoing support.
Conclusion
There is no denying that digitalization is the future and insurers need to be ready to adapt to new challenges and evolving demands from consumers. Policy management tools not only enable insurers to overhaul their core process but simplify it and eliminate operational inefficiencies.
The importance of policy management cannot be understated. Age-old challenges and bottlenecks of managing millions of policies can be mitigated with comprehensive policy management solutions. The above components are the most critical process your organization should look to simplify. These essential features ensure you are able to optimize resources, improve operational efficiencies, streamline processes and translate all these into enhanced customer experiences.
Frequently Asked Questions
How does insurance policy management differ from other policy management tools?
Insurance policy management is a specialized solution that caters to insurance companies and enables them to manage renewals, claims, underwriting and all other processes associated with managing an insurance policy for their customers. Other policy management tools help organizations frame policies and management internal policy documents.
What is an insurance policy lifecycle?
An insurance policy lifecycle starts with generating a quote for the customer, onboarding the customer’s application, and finally setting the payment of premiums and renewals. When a policyholder claims insurance, the insurer has to process the claim, verify its authenticity then accept the claim fully or partially or reject it.
What are the ways the insured can choose to pay for the insurance policy?
The insured can either pay a lump sum amount or choose to pay monthly, yearly or quarterly. These payments are called premiums and are calculated based on certain condition set by the insurer.
Read More
Article | April 21, 2020
In the financial services industry, reliance on big data has been increasing at a global level. The usage is not limited to marketing purposes alone but extends to fraud and risk prevention. Customer demand for personalised products is responsible for this shift. The future of insurance is also being shaped differently due to this. The current lengthy questionnaires won’t be needed at all. Just the data collected will help to accurately predict risk and create policies customised to the person’s needs.
Read More