The Archipelago Property Data Model
The Archipelago Property Data Model is designed to represent all the critical property data domains for a wide range of risk management and insurance use cases in one place. The model is comprised of three layers of unique capability:
- Comprehensive Schema
- AI / ML Transformations
- Document-Based Enrichment
Archipelago built its Property Data Model owners, operators and insurers of the widest range of commercial property to standardize hundreds of attributes across COPE, attritional or stewardship information, loss engineering, losses, CAT risk, and valuation domains to ensure that that the data that truly matters for risk management and insurance use cases can be comprehensively and accurately represented.
AI / ML Transformations
Learning from a rapidly growing corpus of property SOVs representing over 1 million unique commercial properties, Archipelago's AI drives smart validations and transformations from loosely structured and often ambiguously defined information into high quality, consistent coding with the Schema of the Archipelago Property Data Model.
Owners and operators of commercial property are awash in documentation that richly and accurately describe critical information pertinent to the risk of their properties. Archipelago's machine-first, human-in-the-loop, technology is uniquely optimized to scale document-based enrichment to verifiably enrich critical property data. Key data across the domains of the Schema can be extracted and linked from available documentation including PCAs, roof maintenance and warranty reports, structural engineering specifications, retrofit reports, seismic studies, loss control engineering reports, and more.
The schema represents data types developed and exhaustively validated across lots and a diverse range of exposure classes, from office and retail to industrial and logistics and healthcare to manufacturing — all meant to codify what matters for their unique businesses.
While specific, the schema remains agnostic and is not tied to any particular modeling formats.
AI / ML Transformations
The Archipelago Data Model employs machine learning-driven transformations, incorporating validation rules derived from known data and structural engineering patterns. For instance, Archipelago has the ability to automatically identify potential adjustments to a building's construction details based on the year it was built and its geographic location.
These transformative processes continually enhance their intelligence and precision as we handle more property schedules.
Archipelago's enrichment layer employs machine learning tools first, followed by human-in-the-loop processes to extract validated information from source documents. These data points are then automatically linked to their original source documentation, creating trust in the data akin to virtual inspections.
Why quality data matters
The Archipelago Data Model helps to increase the accuracy of catastrophe model results. The list below highlights the top ten most important things to know about the impact of data quality on catastrophe modeling.
"Archipelago brings the value of third-party expertise to enrich, augment and standardize data. Our ability to provide credible, validated data in a model-ready format differentiates our clients and us to the markets. "
Property Practice Leader at Arthur J. Gallagher
“Archipelago enabled us to increase control and consolidation of our data and feel confident in our risk decisions — including the option to buy $50M less in CA Earthquake with the same return period.”
Risk Manager at Shorenstein Properties LLC