Claims analytics
Frequency, severity, reserves and settlement times by line, region, product and partner.
Insurance Analytics
Connect policy, claims and customer data to understand risk, flag fraud early and grow profitable business across every line and channel.
Why insurance analytics
Insurers hold rich data on policies, claims and customers, but it's usually locked in separate systems. We bring it together so underwriting, claims and distribution teams see the full picture.
What's included
Frequency, severity, reserves and settlement times by line, region, product and partner.
Predictive models score every claim and highlight unusual patterns and hidden links for investigation.
Loss experience by segment and risk factor to support pricing, acceptance and reinsurance decisions.
Understand customer value, predict lapses and target renewal and cross-sell campaigns.
Premium, profitability and growth by product, agent, broker, bancassurance partner and direct channel.
Consistent, auditable figures that support management reporting under Solvency II and IFRS 17.
Data sources
Your data stays secure in a governed cloud warehouse, with access controls that match your organisation.
Who it's for
Motor, property and liability portfolios with claims, fraud and pricing insight.
Persistency, product profitability and claims experience across the portfolio.
Production, retention and commission analytics by producer, insurer and product.
Insights
How insurers use data they already hold to flag suspicious claims at first notice of loss, without slowing down honest customers.
Regulators and customers now expect someone to own security. Here is how to decide whether that person should be full time, part time or both in turn.
A major ICT incident starts a clock of three reports to your competent authority. Here is the legal basis, the deadlines and what to have ready before you need it.
Book a short, tailored demo. We'll walk you through live dashboards for your industry and map out how quickly you could be up and running.