Why do insurer's ignore 80%, maybe 90% of crucial data? There are reasons such as it being unstructured, in multiple formats, in silos and inaccessible. But no excuses.
Read how one major UK insurer achieved a "40% increase in motor insurance fraud detection with 360Retrieve"
That requires accessing and analysing that unstructured data and joining it to the more easily analyses structutred/sem-structured data.
The success of disrupters like Amazon is crucilayy dependent on data and analytics married with machine learning, AI and augmented intelligence.
Make sure you gain and deploy the same competencies of you are to be a leader on this increasingly disruptive insurance market.
Insurance firms often struggle to gain value from their data. Structured data systems and architecture have often locked data into a source. By utilising the unstructured data that surrounds a claim, however, a more complete picture of the claim can be built and machine learning can be applied to tap into this broader spectrum of data sources. For example, in a car accident, machine learning could enable the claims adjuster to tap into context such as the weather conditions, dash cam videos or data gathered by the city’s smart transportation system.
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