Using locational technology and geospatial data, insurers can calculate premiums that more accurately reflect important factors surrounding their customers. As a result, the most responsible drivers benefit hugely from reduced rates, and the more risk-prone drivers will be charged at a rate that is fairer for all. Perhaps most crucially however, the volume of both claims and pay outs can be significantly reduced, saving time and boosting profitability.
We can augment your tracked customer data with geospatial information to provide an unparalleled insight into customers’ routines and interests. Beyond this, we can also track significant changes in customers’ behaviours to ensure that your customer profiling is always up-to-date, allowing you to reduce risk and keep pay outs down. If a driver is sensed to be driving too recklessly too regularly, they will risk voiding their insurance.
With more accurate premiums, drivers will be incentivised to drive more carefully. The result will be a positive ripple effect in society, as drivers’ habits change to reduce high speed driving and therefore vehicle-related injuries and air and noise pollution.
Use big data to analyse the conditions encountered by one or more mobile assets including the routes taken and the condition and types of vehicles involved, calculating an insurance cost based on the assessed safety of the journeys. Use our data to calculate the risk associated with each route, accounting for accident blackspots, road types and traffic volumes. Taking this data-driven approach creates fairer rates, saving money for the best prepared and more accurately reflecting the journeys with the most associated risk.
Exploit geographic data to improve the claims process, providing faster risk assessment for legitimate claims while identifying locations with residents more likely to submit fraudulent claims. Your organisation can also use geospatial data and mapping to project regional profitability and manage resources more effectively.