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📋 '''Data protection impact assessment (DPIA)''' is a structured evaluation that insurers and [[Definition:Insurtech | insurtechs]] must conduct before initiating any processing activity likely to pose a high risk to the privacy rights of individuals. Required under Article 35 of the [[Definition:General Data Protection Regulation (GDPR) | GDPR]] and mirrored in several other privacy frameworks, a DPIA forces an organization to identify, assess, and mitigate data-protection risks before they materialize — rather than reacting to breaches or complaints after the fact.

🔧 The assessment typically begins by describing the intended processing — for example, an [[Definition:Insurance carrier | insurer]] launching a [[Definition:Telematics | telematics]]-based [[Definition:Motor insurance | motor]] product that continuously collects driving-behavior data. The [[Definition:Data protection officer (DPO) | data protection officer]] and project team then map out the personal data involved, evaluate necessity and proportionality against the business purpose, identify risks such as unauthorized profiling or excessive retention, and document safeguards like [[Definition:Data minimization | data minimization]], pseudonymization, and consent mechanisms. If residual risks remain high after mitigation, the insurer must consult its supervisory authority before proceeding. In practice, DPIAs are also triggered by new [[Definition:Fraud detection | fraud-detection]] algorithms, cross-border data sharing with [[Definition:Reinsurer | reinsurers]], and partnerships with third-party data vendors.

💡 Completing a thorough DPIA does more than satisfy a regulatory checkbox. It creates an auditable record that demonstrates accountability — a powerful defense if a [[Definition:Regulatory action | regulatory inquiry]] arises later. It also surfaces design flaws early, saving the cost of retrofitting privacy controls into systems already in production. For carriers competing in markets where consumers are increasingly privacy-conscious, the discipline of routine DPIAs signals a mature, trustworthy approach to innovation — one that enables bold use of [[Definition:Artificial intelligence (AI) | AI]] and advanced [[Definition:Data analytics | analytics]] without crossing ethical or legal boundaries.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:General Data Protection Regulation (GDPR)]]
* [[Definition:Data protection officer (DPO)]]
* [[Definition:Data protection]]
* [[Definition:Data minimization]]
* [[Definition:Privacy by design]]
* [[Definition:Regulatory compliance]]
{{Div col end}}

Definition:Data protection impact assessment (DPIA) - Revision history

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