https://www.insurerbrain.com/w/index.php?action=history&feed=atom&title=Definition%3AData_standardDefinition:Data standard - Revision history2026-05-05T03:39:28ZRevision history for this page on the wikiMediaWiki 1.43.8https://www.insurerbrain.com/w/index.php?title=Definition:Data_standard&diff=8863&oldid=prevPlumBot: Bot: Creating new article from JSON2026-03-11T04:41:43Z<p>Bot: Creating new article from JSON</p>
<p><b>New page</b></p><div>📐 '''Data standard''' is a formally agreed specification that defines how insurance data should be structured, labeled, and exchanged between parties. In an industry where [[Definition:Premium | premium]], [[Definition:Claim | claims]], and [[Definition:Exposure | exposure]] information routinely passes among [[Definition:Broker | brokers]], [[Definition:Insurance carrier | carriers]], [[Definition:Reinsurer | reinsurers]], [[Definition:Managing general agent (MGA) | MGAs]], and [[Definition:Insurance regulator | regulators]], a common vocabulary and format are essential for interoperability. Prominent examples include the ACORD data standards, Lloyd's [[Definition:Core data record (CDR) | core data record]], and [[Definition:Solvency II | Solvency II]] reporting taxonomies — each designed to reduce ambiguity and enable straight-through processing.<br />
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🔗 Adoption works through a combination of industry governance, market mandates, and technology implementation. Standards bodies publish schemas, code lists, and messaging formats; market authorities or regulators may then require their use as a condition of participation. On the technology side, [[Definition:Policy administration system | policy administration systems]], [[Definition:Bordereaux | bordereaux]] tools, and [[Definition:Application programming interface (API) | API]] gateways embed these standards so that data emitted by one system can be consumed by another without manual remapping. In the Lloyd's market, for example, adherence to the [[Definition:Core data record (CDR) | CDR]] and related placement messaging standards is enforced through [[Definition:Lloyd's of London | Lloyd's]] market oversight, and non-compliance can result in processing delays and financial penalties.<br />
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🏗️ Without widely adopted data standards, the insurance ecosystem would drown in reconciliation effort. Every bespoke format a [[Definition:Coverholder | coverholder]] uses to report to its [[Definition:Capacity provider | capacity providers]] adds translation cost, increases error rates, and slows the flow of information needed for [[Definition:Reserving | reserving]] and [[Definition:Underwriting | underwriting]] decisions. Standardization also unlocks higher-order capabilities: when data is consistently coded, it becomes feasible to benchmark [[Definition:Loss ratio (L/R) | loss ratios]] across portfolios, train [[Definition:Machine learning | machine-learning]] models on pooled datasets, and automate regulatory submissions. For [[Definition:Insurtech | insurtechs]] building connective infrastructure, the prevailing data standards effectively define the rails on which the modern market operates.<br />
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'''Related concepts:'''<br />
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* [[Definition:Core data record (CDR)]]<br />
* [[Definition:ACORD]]<br />
* [[Definition:Bordereaux]]<br />
* [[Definition:Data reporting]]<br />
* [[Definition:Straight-through processing (STP)]]<br />
* [[Definition:Application programming interface (API)]]<br />
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