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🗂️ '''Customer data''' in insurance refers to the broad spectrum of personal, behavioral, transactional, and risk-related information that insurers, [[Definition:Reinsurance | reinsurers]], and intermediaries collect about policyholders, applicants, claimants, and beneficiaries throughout the insurance lifecycle. This data — spanning demographics, claims history, [[Definition:Telematics | telematics]] feeds, health records, property characteristics, payment behavior, and communication preferences — is the raw material for virtually every core insurance function, from [[Definition:Underwriting | underwriting]] and [[Definition:Pricing | pricing]] to [[Definition:Claims handling | claims management]] and [[Definition:Customer retention | retention]]. In an industry built on the assessment and selection of risk, the quality, granularity, and ethical use of customer data have become defining competitive differentiators.

⚙️ Insurers collect customer data through multiple channels: application forms, [[Definition:Broker | broker]] submissions, connected devices and [[Definition:Internet of Things (IoT) | IoT]] sensors, third-party data providers, public records, and increasingly through digital interactions on web portals and mobile apps. Advanced [[Definition:Data analytics | analytics]] and [[Definition:Machine learning | machine learning]] models transform this data into actionable insights — enabling more granular [[Definition:Risk segmentation | risk segmentation]], personalized product recommendations, [[Definition:Fraud detection | fraud detection]], and proactive loss prevention services. However, the use of customer data in insurance is subject to extensive and evolving regulation. The European Union's [[Definition:General Data Protection Regulation (GDPR) | GDPR]] imposes strict requirements on data processing, consent, and individual rights, while laws such as China's Personal Information Protection Law, Singapore's PDPA, and various U.S. state privacy statutes (notably the [[Definition:California Consumer Privacy Act (CCPA) | CCPA]]) create a patchwork of compliance obligations for global insurers. In addition, insurance-specific regulations in many jurisdictions restrict the use of certain data categories — such as genetic information or credit scores — in [[Definition:Underwriting | underwriting]] and pricing decisions, reflecting concerns about fairness and discrimination.

🔐 The strategic importance of customer data has intensified as [[Definition:Insurtech | insurtech]] firms and technology-native entrants build business models predicated on superior data capture and utilization. Traditional insurers — many of which historically operated through intermediated distribution channels that limited direct customer relationships — have invested heavily in data infrastructure, [[Definition:Customer relationship management (CRM) | CRM]] platforms, and [[Definition:Application programming interface (API) | API]] integrations to close this gap. At the same time, the industry faces growing scrutiny over [[Definition:Algorithmic bias | algorithmic bias]], [[Definition:Data ethics | data ethics]], and the transparency of data-driven decisions, particularly in [[Definition:Claims handling | claims]] outcomes and pricing. Regulators, consumer advocates, and [[Definition:Rating agency | rating agencies]] increasingly expect insurers to demonstrate responsible data governance — not just compliance with the letter of privacy law, but genuine accountability for how customer information is collected, stored, shared, and used to make decisions that affect people's access to coverage and the prices they pay.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Data analytics]]
* [[Definition:General Data Protection Regulation (GDPR)]]
* [[Definition:Telematics]]
* [[Definition:Algorithmic bias]]
* [[Definition:Risk segmentation]]
* [[Definition:Fraud detection]]
{{Div col end}}

Definition:Customer data - Revision history

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