By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    football analytics
    The Role of Data Analytics in Football Performance
    9 Min Read
    data Analytics instagram stories
    Data Analytics Helps Marketers Make the Most of Instagram Stories
    15 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    What to Know Before Recruiting an Analyst to Handle Company Data
    6 Min Read
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Predictive Modeling And Big Data Are Insurance Industry Powerhouses
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Predictive Modeling And Big Data Are Insurance Industry Powerhouses
Big Data

Predictive Modeling And Big Data Are Insurance Industry Powerhouses

Sean Mallon
Last updated: 2018/08/05 at 7:53 PM
Sean Mallon
8 Min Read
predictive modeling
Shutterstock Licensed Photo - By OpturaDesign
SHARE

The insurance industry is mainly based on prediction and it’s characterized by a high-risk activity profile. The highly competitive character of the industry and the ever-changing consumer behavior makes it mandatory for small and large insurance companies to invest in accurate and effective ways to predict consumer behavior and minimize their risk. Nonetheless, predictive modeling and big data, as well as data analysis, fundamentally mutate the way in which such enterprises carry their activity and create new insurance products.

Contents
#1. Risk Assessment and Big Data#2. Fraud Detection#3. Improved Customer Experience#4. Deeper Customer Insights#5. Automation Opportunities#6. Smart Labor and Financial DecisionsBig Data And Insurance Go Hand In Hand

This contributes enormously to making this business model a more scalable one, which allows insurance companies to leverage their activity. But this happens only if the data is properly used. Analytics and big data capabilities allow insurance companies – when used properly – to assess and minimize their risks, but also tailor more insurance products that suit each consumer’s needs and expectations. More about the ways in which insurance companies can benefit from the power of data in the following paragraphs.

#1. Risk Assessment and Big Data

Insurers nowadays can use predictive measurements and use those to assess their company’s risks and vulnerabilities. It is impressive how auto insurers can use the data delivered from one’s automobile or smartwatch’s socio-geographic coordinates and predict if a policyholder is likely or not to be involved in a car crash, have their vehicle stolen, or be subjected to other events. Besides the data that is used in the process comes from in-vehicle telecommunication devices, health trackers, and exogenous data such as the road conditions or the safety levels of the neighborhood. This is one of the most impressive ways in which insurers can maximize the data that is usually stored on various mediums: to tailor and design policy premiums.

But not only auto insurers use big data and data analysis to minimize their risk and correctly predict it. The health insurance industry does the same. Because wearables and health trackers have increased in popularity tremendously and are nowadays accessible to almost anybody, health insurance companies use the data made available by those to assess health risks and vulnerabilities in their consumers. Many insurers even offer promotional packages for those clients that use wearables and offer access to their data. Ethical and privacy concerns have arisen already, in this case, and many debates have started. But the potential in terms of risk assessment of data collection and analysis is an enormous one.

More Read

Shutterstock Licensed Photo - 1051059293 | Rawpixel.com

QR Codes Leverage the Benefits of Big Data in Education

The Role of Data Analytics in Football Performance
7 Mind-Blowing Ways Smart Homes Use Data to Save Your Money
What to Know Before Recruiting an Analyst to Handle Company Data
Tackling Bias in AI Translation: A Data Perspective

#2. Fraud Detection

Bid data is used for fraud detection scopes across multiple industries, but the banking and insurance industry seem to benefit the most from it. Insurers use predictive modeling and big data to identify criminal intents and fraud.

Where humans fail, big data and predictive modeling can identify mismatches between the insured party, third-parties involved in the claim (e.g. repair shops) and even the insured party’s social media accounts and online activity. Fraudulent claims can be identified quite easily. The insurance company will gain a more secure place on the market and decrease the chances of being subjected to fraudulent claims.

#3. Improved Customer Experience

In the past, insurance companies were betting on loyalty programs to tailor a better customer experience. The industry itself is very consumer-centered and big data seems to make it easier for insurance companies to win their customer’s loyalty. Big data offers insurance consultants more means to become a trusted helper for those in search of the perfect insurance product. Data analysis and the actionable insights offered by it allow insurance brokers to identify gaps in customers’ policies and make pertinent suggestions. This will help insurance companies to bring added value to their services and products.

What will generate this for the insurance company? First of all, more sales, and secondly, offering the customer the feeling that the insurer actually cares and looks after them.

#4. Deeper Customer Insights

Fully understand the customer, their behavior, needs, and expectations are vital for insurance companies. This will automatically streamline the purchase process while helping the insurer to offer personalized products and services.

Such technologies mutate the way in which health insurance packages are designed, especially. Today, health insurance companies use the information and data offered by wearables and health trackers to track their consumer’s conditions, while effectively helping them to keep those under control. But this kind of information is not exclusively used by insurance companies. Medical providers also use the data generated by wearables to keep a closer eye on their patient’s conditions and their evolution, in the near future a closer collaboration between medical providers and insurance companies.

Some insurance companies even assist their customers in improving their health by tailoring dedicated insurance packages for their conditions, while others make recommendations to drivers to improve their driving. Big data can truly create a win-win environment for both insurance companies and their customers.

#5. Automation Opportunities

Even in the past, insurers used to automate some simple processes, like compliance checks. However, recently, their automation capabilities have been significantly improved, thanks to big data and various analysis software programs. Repetitive tasks, but also complex processes and loan underwriting capabilities were also automated, thanks to big data and improved data capabilities. Also, the same automation process will soon be working for insurance claims, property assessment, complex customer interactions (chatbot technology) etc.

Big data technologies will help insurance companies save time and money, but also human resources while working at full capabilities.

#6. Smart Labor and Financial Decisions

Big data will soon allow insurance companies to plan their employee’s activity depending on their training levels but also claim complexity. Insurers will also be able to make smarter and more appropriate financial decisions with the help of the same technologies, by preventing them to sign high-settlement amounts.

Big Data And Insurance Go Hand In Hand

Big data is present in all areas of our lives, and nonetheless, all industries are changed to their core by the emergence of these technologies and capabilities. Overall, the biggest advantages gravitate around offering the insurer more certainty on their financial decisions but also around offering a profusely personalized experience to the customer.

Sean Mallon August 5, 2018
Share This Article
Facebook Twitter Pinterest LinkedIn
Share
By Sean Mallon
Sean is a freelance writer and big data expert. He loves to write on big data, analytics and predictive analytics.

Follow us on Facebook

Latest News

Shutterstock Licensed Photo - 1051059293 | Rawpixel.com
QR Codes Leverage the Benefits of Big Data in Education
Big Data
football analytics
The Role of Data Analytics in Football Performance
Analytics Big Data Exclusive
smart home data
7 Mind-Blowing Ways Smart Homes Use Data to Save Your Money
Big Data
ai low code frameworks
AI Can Help Accelerate Development with Low-Code Frameworks
Artificial Intelligence

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

Shutterstock Licensed Photo - 1051059293 | Rawpixel.com
Big Data

QR Codes Leverage the Benefits of Big Data in Education

7 Min Read
football analytics
AnalyticsBig DataExclusive

The Role of Data Analytics in Football Performance

9 Min Read
smart home data
Big Data

7 Mind-Blowing Ways Smart Homes Use Data to Save Your Money

7 Min Read
analyst,women,looking,at,kpi,data,on,computer,screen
Analytics

What to Know Before Recruiting an Analyst to Handle Company Data

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?