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	<title>Definition:Data sharing - Revision history</title>
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	<updated>2026-05-02T18:26:05Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Data_sharing&amp;diff=20762&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;📊 &amp;#039;&amp;#039;&amp;#039;Data sharing&amp;#039;&amp;#039;&amp;#039; in the insurance industry refers to the structured exchange of information — including [[Definition:Claims data | claims data]], [[Definition:Actuarial data | actuarial statistics]], [[Definition:Policyholder | policyholder]] demographics, [[Definition:Telematics | telematics]] feeds, and [[Definition:Loss experience | loss experience]] records — between [[Definition:Insurance carrier | insurers]], [[Definition:Reinsurer | reinsurers]], [[Definition:Insurance broker | intermediaries]], regulators, and third parties to improve [[Definition:Underwriting | underwriting]] accuracy, detect [[Definition:Insurance fraud | fraud]], and refine [[Definition:Pricing | pricing]] models. Unlike many financial sectors where individual firms guard proprietary data as a competitive moat, insurance has a long tradition of pooled data — organizations such as the [[Definition:Insurance Services Office (ISO) | ISO]] in the United States, the [[Definition:Lloyds Market Association (LMA) | LMA]] in London, and various national [[Definition:Advisory organization | advisory bodies]] compile aggregated loss data that member companies use to build [[Definition:Rating | rating]] tables and assess emerging risk trends.&lt;br /&gt;
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🔄 The mechanics of data sharing in insurance range from formal regulatory mandates to voluntary industry initiatives and commercial data partnerships. [[Definition:Regulatory reporting | Regulatory reporting]] requirements compel insurers to submit detailed financial and statistical data to supervisory authorities — the [[Definition:National Association of Insurance Commissioners (NAIC) | NAIC&amp;#039;s]] statutory filings in the U.S., [[Definition:Solvency II | Solvency II]] quantitative reporting templates in Europe, and the [[Definition:China Risk Oriented Solvency System (C-ROSS) | C-ROSS]] reporting framework in China all mandate extensive data disclosure. On the commercial side, [[Definition:Insurtech | insurtech]] platforms increasingly facilitate real-time data exchange between parties in the value chain: [[Definition:Managing general agent (MGA) | MGAs]] share [[Definition:Bordereaux | bordereaux]] with capacity providers through cloud-based portals, while [[Definition:Internet of Things (IoT) | IoT]] device manufacturers feed sensor data directly into [[Definition:Risk assessment | risk assessment]] engines. [[Definition:Blockchain | Blockchain]] and [[Definition:Distributed ledger technology (DLT) | distributed ledger technology]] pilots — such as those tested by the B3i consortium and RiskStream Collaborative — have explored ways to create tamper-resistant, shared records for [[Definition:Reinsurance | reinsurance]] placements and [[Definition:Parametric insurance | parametric]] trigger verifications.&lt;br /&gt;
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🔐 The value of data sharing is matched by the complexity of its governance. [[Definition:Data privacy | Data privacy]] regulations — including the EU&amp;#039;s General Data Protection Regulation (GDPR), California&amp;#039;s Consumer Privacy Act, and similar legislation in Singapore, Japan, and Brazil — impose strict constraints on how personal data flows between organizations and across borders. Insurers must balance the competitive and actuarial benefits of shared data against obligations around [[Definition:Data protection | consent]], anonymization, and [[Definition:Data security | security]]. [[Definition:Competition regulation | Competition regulators]] also monitor data-sharing arrangements to ensure they do not facilitate price coordination or market allocation. As the industry increasingly relies on [[Definition:Artificial intelligence (AI) | artificial intelligence]] and [[Definition:Machine learning | machine learning]] models trained on large datasets, the tension between data openness and privacy protection will continue to shape how insurers collaborate and compete.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Data privacy]]&lt;br /&gt;
* [[Definition:Advisory organization]]&lt;br /&gt;
* [[Definition:Bordereaux]]&lt;br /&gt;
* [[Definition:Telematics]]&lt;br /&gt;
* [[Definition:Regulatory reporting]]&lt;br /&gt;
* [[Definition:Blockchain]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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