Location Metrics For Insurance

location data to improve loss prediction

location change detection
Active & secured
vacant & inaccessible
What you get in this session:
‣ Get an overview of how Habidatum metrics can help,
‣ Walkthrough of key delivery options.
Habidatum offers customized and affordable pricing depending on the size and geography of your portfolio, as well discounts and POC pricing options.
Hartford Steam Boiler with a portfolio of 100s of thousands of properties
— Ongoing activity —
There's an ongoing collaboration to test Habidatum data in risk management and mitigation models, from underwriting to IoT, across 100s of thousands of properties.
You can go one of two ways
Selected metrics
All metrics
1
2

Selected metrics to highlight changes in your property portfolio

1
properties' accessibility to critical services (fire stations, emergency and repair services, etc.)
properties' influence areas seeing people and businesses moving in and out (location risk score change)
properties losing or gaining visitors and tenants
Metrics are provided for a set of addresses in your portfolio in a table or map format.
Comparative metrics show ranking within the portfolio and benchmark geographies; properties experiencing the strongest change are highlighted.

All metrics from our data dictionary are pulled via a cloud instance or API for training your models

2
Metrics are associated with the addresses or parcels you provide and delivered in machine-readable format with standard README files.
Based on model tests, metrics can be customized to better fit your needs.
Location is a significant factor in commercial real estate value and performance, and it is the least controllable and understandable one. The property owner usually knows what happens at the building address but not much about the broader location that influences it, including areas accessible by walking and transport. Within insurance portfolios, numbers of commercial real estate properties are thousands and millions, so the lack of visibility into location factors requires automated big data-driven solutions.

The underlying data comes from mobile phones (GPS), online maps (points of interest and travel time) and satellite imagery. This data is processed in our in-house built data platform using novel methodologies tested with top global corporations and built from years of consulting in geo-analysis for the real estate and financial industries.
We offer signalling metrics for use by underwriters and data science teams working with loss models on the insurance side.

change of property use signalled by mobility and tenants data

‣ defining abandoned buildings

‣ highlighting lack of accessibility to critical services (repair, fire stations)

‣ scoring location's socio-economic trends (location risk scoring) for revenue loss projections

‣ modelling people's escape in case of disasters

Benefits

Global big data access and international comparisons

GDPR and privacy market standards compliant

History back to 2018

Ready-to-use metrics serving as model inputs and signal indicators

Analytical focus: not just raw data providers, but client-side thought-leadership partners

Combining data points to provide better insights


Our industry collaborations

Hannover Re Equarium
New England Statistical Society
OnRamp Insurance
Upward Labs
Geosite
Hannover Re Equarium
New England Statistical Society
OnRamp Insurance
Upward Labs
Geosite

Habidatum offers customized and affordable pricing depending on the size and geography of your portfolio, as well discounts and POC pricing options.
What you get in this session:

‣ Get an overview of how Habidatum metrics can help,

‣ Walkthrough of key delivery options.
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