Insurance
A business-led data strategy for a London market insurer
A comprehensive data strategy connected business objectives, information needs and the capabilities required to support them.
StrategyLead Consultant experience
Industries
Insurance
Insurance brings together policy, claims, exposure, finance and external information. Getting a consistent view across these sources is important for underwriting, reporting and the use of AI.
Some of the
data questions
- Connect underwriting, claims and finance information
- Make definitions and ownership explicit
- Build AI governance into established risk and control arrangements
EIOPA sets out its approach to AI governance and risk management
EIOPA’s supervisory opinion addresses AI governance and risk management in insurance. It is a European supervisory reference, rather than a new UK legal requirement.
Read the sourceThe data implication
It provides a useful prompt to examine the data behind an AI application, how its use is documented and how accountability and review work in practice.
Related experience
What is your information challenge?
Whether you have a specific problem or are looking at a wider strategy, we would be interested in talking.
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