By Helen Richardson, insurance senior product manager, U.K. and Ireland, LexisNexis Risk Solutions
The Fraud Strategy for 2026-2029 sends a clear message: every business has a role to play in tackling fraud in all its forms and for insurance providers, fraud takes many forms – from ghost broking and staged claims to identity manipulation and policy misrepresentation. It starts with knowing who they are dealing with at every point in the customer journey, from application through to claim.
No single organisation has the full picture, which is why data sharing, advanced analytics and email address intelligence have vital roles to play. However, one of the most powerful tools insurers already possess is their own customer data.
Best practice risk assessment relies on clean, accurate and connected customer data. Yet many insurance providers still struggle to maintain up-to-date and complete customer records. When data sits in silos across underwriting, pricing and claims systems, detecting patterns that may indicate fraudulent activity becomes significantly harder.
Data fragmentation can arise from mergers and acquisitions that introduce new customer datasets, legacy systems across product lines and inconsistent, outdated or incomplete customer records across policies and claims.
Linking data to uncover anomalies
Accurate identity resolution is essential for identifying inconsistencies or suspicious activity in real time. By linking customer data across all parts of their business, insurance providers can detect anomalies more quickly. For example, linking records may reveal that a customer applying for home insurance has previously had a series of motor claims repudiated at another address, or that information provided in a new claim contradicts data supplied in a previous policy application.
Beyond fraud prevention, linking customer data also delivers broader operational benefits. When insurance providers can resolve multiple records to a single identity, they gain a clearer view of their relationship with each customer, supporting more informed decisions across pricing, underwriting and claims.
This “single customer view” can improve customer outcomes and help insurance providers better understand customer needs across products and services while enabling them to identify additional product opportunities.
Data linking as a foundation for smarter insurance
As insurance providers continue investing in artificial intelligence and advanced analytics, the quality of underlying customer data becomes even more critical. AI-driven decisioning systems depend on accurate and structured datasets to function effectively.
Solutions such as LexID® for Insurance can help insurance providers connect fragmented records to a unique identity, creating a more consistent, real-time view of each customer across the insurance lifecycle without the burden of maintaining complex internal data matching systems.
Uncovering hidden fraud networks
Data linking can also reveal fraud patterns that would otherwise remain hidden. By connecting individuals, policies, claims and third parties across multiple records, insurance providers can identify potential fraud rings or coordinated activity.
For example, linking datasets across business lines may uncover duplicate policies associated with the same individual, repeated claims involving connected parties, inconsistent customer details across products, or suspicious patterns emerging across multiple policies.
These insights can help insurers enhance their fraud detection models while supporting broader industry efforts to disrupt organised fraud networks.
Supporting the industry-wide fight against fraud
At its core, The U.K. government’s new approach to tackling fraud calls for greater data sharing, stronger enforcement, and more coordinated action across sectors. Helping to deliver on that ambition depends on how effectively the insurance industry can connect and use data.
Customer identity resolution is central to this effort. When combined with enriched datasets, particularly those built from industry-wide policy and claims history, it creates a far more complete and reliable view of risk. Layering in advanced analytics and complementary tools such as indicators of quote manipulation and email address intelligence, further strengthens this capability. The result should be more accurate fraud detection, stronger prevention and reduced friction for genuine customers.
For insurance providers, establishing a unified, connected view of the customer is a foundational step in fraud prevention. By breaking down data silos and improving identity resolution, firms can apply enrichment more effectively, sharpen their understanding of risk and deliver better customer outcomes. In doing so, they not only strengthen their own fraud resilience, but also contribute to a safer, more coordinated and more resilient insurance market overall.
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