In an ideal world, the data you use to evaluate sites and make informed business decisions would all line up “just so.” One address, one building, one parcel boundary, one owner, one property tax record. The real world, of course, is much more complex.
For example, more than one address can be associated with:
- A parcel boundary that sits on a corner with road frontage on two different streets
- A building containing multiple apartments, suites, or condominiums, including private and commercial uses
- A multi-tenant building situated across multiple parcel boundaries
- A single parcel with multiple buildings
- A single address with more than one property record
Complex relationships made simple
Our customers spoke, and we listened – resulting in a powerful solution developed by our team of experts. Property Graph enables you to accurately represent complex real-world scenarios by simplifying relationships between two or more supported Precisely data products (see sidebar). Property Graph is a dataset built to support data queries, automated processes, and SaaS applications, and is seamlessly loaded into a customer database management system (DBMS).
Each Property Graph table contains a relationship class, primary and secondary unique identifiers (keys), and a relationship type. Available relationship classes are:
- Address parent and address child
- Address and parcel boundary
- Address and building
- Address and property attributes
- Address and point of interest
- Building and parcel boundary
- Building and point of interest
- Parcel boundary and property attribute
- Parcel boundary and point of interest
Industry use cases for Property Graph and data enrichment
Property Graph helps telecommunications and broadband companies plan 5G or cable infrastructure buildout and identify serviceable locations. It enables you to swiftly detect new addresses when they become serviceable, capture all addresses within a multi-tenant or multiple dwelling unit building, and
identify serviceable buildings when multiple buildings exist on one property.
There is also opportunity for valuable cross-sell and up-sell opportunities that can be identified via a look-a-like analysis, once you understand the property characteristics that translate into serviceable locations.
A precise understanding of a property’s location, along with any associated co-tenant and adjacent risks, can inform policy pricing strategy. For example, using the Property Graph and Precisely data enrichment products, you can identify businesses located in the same building, or on a nearby parcel, which expose the insured property to additional risk.
Property Graph can also help insurance companies optimally target, procure, grow, and retain profitable customers based on property ownership. Ownership can be identified based on assessment records linked to a building ID or parcel ID, can then be used to discover other properties owned by the named
individual or business.
Read more about how Property Graph can help your industry.