Five ways big data will boost the insurance industry

Apr 09, 2013
Scott Raspa

In the world of insurance, the biggest tool for both the buyer and the seller is predictability: for the buyer, you have considerable risk in the course of your life which you need to consider, and for the seller, your client list has to be predictable enough to manage the claims and stay ahead.

Insurance data mining presents the opportunity for predictability in all aspects of the insurance industry; decisions can be informed by concise, sound, and reliable information. Here are five areas where Big Data can boost your insurance agency:

Risk Assessment

One of the biggest challenges for any insurance product is how to determine the level of the risk absorbed from the client to the company.

It can be a daunting process for your insurance company, especially with changing social norms and the risk involved with the innovative accessories of daily living.

Every claim involves an assessment of the constraints in the client’s life as well as their demographic risk. With insurance data mining, the direction can be clearer in determining the value of each claim through past experiences; the trends or risk patterns of individuals or industries as influenced by age, demographics and personalities. This makes each insurance product more personalized for all parties, leading to increased confidence for both the underwriters and the clients in the soundness of the valuation process for claims and rates.

Depicting the Buyer Persona

Based on information gained from insurance data mining, the marketing department can embark on one of the most successful models of marketing where efforts are driven towards the most predictable outcomes in the market.

Determining the trend of need and expectations of the client market is made easier with insurance data mining, which shows models of predictability across industries, personalities and behavior, demographics and cultural perceptions.

Increasing the client base becomes easier for when you know where to direct varying products for various client groups, for instance, certain industries tend to present more risk than others, and the response might be more positive on such industries.

Detecting Fraud

One of the greatest challenges to insurance companies is fraud, where clients create the circumstances that determine the culmination of the risk transferred from them to the insurance companies.

Defrauding insurance companies has become quite common, and is costing many companies the needed profitability in sustaining support for the increasing client base. In deterring this, insurance data mining presents models that highlight the hallmarks of a fraudulent situation.

Carefully documented claim circumstances in the past are crunched down for anomalies, patterns and signatures for possible fraud. Without these models, there are very few ways of determining probable cause for any circumstance.

Improved Management

Managing insurance companies is made easier by looking at outcomes from past decisions. Managers can rely on sound data to use resources in a predictable manner, to direct staff and to strategize their business operations.

Procedures are shortened to reduce the man-hours spent on each case; clients express more satisfaction with the quality of service. Generally, staff and procedural performance is monitored closely with insurance data mining.

Prudent Investments

Your strategic management department needs to have information on how much resource they can afford to invest on behalf of the company, how each investment performs, and how it affects the profitability of the company in regards to financial schedules, availability of liquid resources, and funding operational cost.

While existing systems might provide the much needed direction, predictability comes into play with data mining. Trajectories are predicted in the possible budget amounts for claims and operations, allowing for clearer decisions by your strategic team on timely investments and expected periods for returns.

Learn more about insurance data mining

IKANOW is here to help your insurance company be more effective through data analytics. We would be glad to give you a free one-on-one demonstration to learn about your situation and to show you how our data analytics platform can boost your business.

 

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