It is generally accepted that for insurance to match the majority of customer-facing industries in terms of customer service, omnichannel engagement and personalized products, insurers must undertake a series of radical organizational and technological transformations.
Of course, to effectively acquire customers, offer them personalized products and seamless service requires careful analysis of data from which insights can be drawn. However, the chief challenge to insurers’ effective use of analytics is data quality, or lack thereof (Insurance Nexus’ Advanced Analytics and AI survey).
This may, in part, be due to the evolving nature of data and our understanding of how its changing qualities impact how we use it. It stands to reason that the nature of data should alter over time; as technology changes and different data sources emerge, so the characteristics of data evolve. Despite this, while discussions about the proliferation of data are commonplace, considerations about the changing nature of data itself are less so.
Insurance Nexus spoke to three insurance data experts, Aviad Pinkovezky (Head of Product, Hippo Insurance), Jerry Gupta (Director of Group Strategy, Swiss Re Management (US) Corporation) and Eugene Wen (Vice President, Group Advanced Analytics, Manulife), for their perspectives on what each generation of data mean for insurance today, and how subsequent generations will influence insurance tomorrow.
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