The insurance industry strives a lot to win the trust of their customers. Imagine a scenario where the right ones are not rewarded and the wrong ones are rewarded. This leads to chaos or loss of faith in a system.
Now the question is 'what breaches the trust utmost'? In any business, it is the money that matters in return for the investment that the customer paid for a service or product. When it comes to insurance, customers expect a reward for the premium they paid. During risks/accidents/deaths they expect the reward from the insurer during the claims process. Because of this reason, claims processing is the most crucial stage for the insurers. It should be seen in the context that, not all those who claim are not genuine ones, but at the same time the genuine claims need to be rewarded. It is at this stage fraud analytics powered insurance processes comes to the aid of insurers.
Why is it Important to Detect Fraud? According to FBI, about $45 billion is lost every year in insurance fraud. Handling claims is not a simple process. On the other, it is the most complex process in the insurance processes. Complexities include frequent file transfers, gathering adequate information, sieving misinformation from the right ones, etc. All these contribute to the complexities for the insurers. If the insurance carrier is unable to identify whether the claims are genuine or fraud, it is a foregone conclusion that the insurance carrier will undergo huge loss leading to a chain of losses to other sectors linked with it.
Why is it Important to Detect Fraud? According to FBI, about $45 billion is lost every year in insurance fraud. Handling claims is not a simple process. On the other, it is the most complex process in the insurance processes. Complexities include frequent file transfers, gathering adequate information, sieving misinformation from the right ones, etc. All these contribute to the complexities for the insurers. If the insurance carrier is unable to identify whether the claims are genuine or fraud, it is a foregone conclusion that the insurance carrier will undergo huge loss leading to a chain of losses to other sectors linked with it.