Insurance Technology
Article | July 19, 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.
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Insurance Technology
Article | July 13, 2022
The year 2019 has been a benchmark in insurance innovations that brought in new value propositions to the industry. What’s more remarkable is — both traditional Insurers and Insurtechs are striving to offer simple, convenient, and value-added customer-centric products coupled with technology initiatives. Here are 10 noteworthy insurance innovations that shaped the industry this year.
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Article | July 15, 2022
Amid COVID-19, banks began offering mortgage deferrals and slashing credit card interest rates in half for cardholders who need relief. Home and auto insurance companies COVID-19 plans are now being released. How will this impact your insurance right now? How can you save on insurance during COVID-19, while making sure to stay protected?
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Insurance Technology
Article | July 19, 2022
The pandemic pressed many businesses to go remote. While this enabled employees and their organizations to continue doing business in the face of global uncertainty, the fragility of cybersecurity infrastructure became more apparent than ever. From remote work to a more powerful online presence, cybersecurity threats are a significant challenge for many organizations. With data security, exposure to these threats meant cyber insurance needed to be amped up.
In the race to fortify cybersecurity, small businesses, which have limited resources to train their IT staff, have much catching up to do. As a matter of fact, practically all small businesses maintain sensitive data on their staff, clients, or suppliers, making them open to hacking attempts, malware attacks, digitalfraud, and other online threats. A cyberattack can force a firm to cease operations, incur significant losses, and unanticipated costs, and harm their brand. This is why cyber insurance is so critical.
Here are four things SMBs must understand about cyber insurance and what it covers.
In Case of Data Breaches
Data breaches are one of the most common types of cyberattacks on small firms. Cyber insurance coversthe cost of locating the origin of a data breachand assessing whether the information lost poses any legal obligations. It also includes the price of meeting those obligations, including sending notifications to affected clients, setting up a call center, and providing credit monitoring, as well as the price of hiring legal counsel and paying any fines or penalties.
In Case of Malware Attacks
Ransomware and malware attacks allow criminals to break into an organization’s back-end data. They use it to steal customer information or simply encrypt it which allows them to demand random from the business to reclaim access. Cyber insurance can pay for all of the expenses involved in restoring the system, including recovering data, ransomware removal, vulnerability patching, and, if required, paying the ransom itself. A ransomware attack is the most disruptive,and it may be covered if there is economic loss for the company.
In Case of Phishing and Cyber Fraud
By gaining access to a company's computer system, social engineering letscriminals trick employees intosettlingfictitious bills or diverting cash to their accounts. Businesses may be able to recoup lost funds with the use of cyberinsurance.
Third-Party Coverage
Third-party insurance can shield firms from cyber-related legal troubles, such as government responseor class-action lawsuits brought on by, for instance, unintentional malware spreador the inability to curbunauthorized access to companysystems. It covers all legal expenses, such as settlements and lawyer fees.
What’s the Bottom Line?
Cyber insurance cannot be an alternative to a robust cyber security infrastructure. And small businesses cannot afford to keep vulnerabilities in their systems. Many cyber advice solution providers offer advisory and risk assessment services that may be just what small and medium-sized businesses (SMBs) need to start improving the security of their systems.
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