Why behavioural analytics should be a top priority for insurers

Behavioural analytics is a method of data analytics to better understand and even predict a user’s habits. There are a lot of use cases for this technology, from tailored services through to anti-fraud measures. Most commonly in insurance, it is used to gain insights into customers and provide them with more personalised services. Whether that is lower premiums on safer drivers or even recommendations on living healthier to reduce future claims. There is a magnitude of ways behavioural analytics can be implemented across the value chain and it is becoming a major priority for firms.

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