DATA INTEGRITY SUITE
SERVICE DESCRIPTION – DATA ENRICHMENT
(25-Apr-2025)
The following is a high-level description of the various Data Enrichment Services (each a “Service”)—part of the Precisely Data Integrity Suite.
Modifications to this Service Description:
- Orders for Licensed Products and/or Services are governed by the version of this Service Description applicable on the Start Date of the license in an Order.
- The terms of this Service Description may not be modified with respect to the Order to which they apply except by mutual agreement.
- New versions of this Service Description will only apply to subsequent Orders.
Enrichment Data Generally
Enrichment using datasets from the Precisely Data Catalog is available to include in a Data Quality Pipeline or in TrueView reporting and visualization. A workspace requires a separate subscription entitlement for each dataset in a collection. Separate subscriptions apply to different platforms used with Data Integrity Suite. Contact your Precisely sales representative for details.
Data Graph API Service
The Data Graph API Service allows Precisely Customers to perform declarative queries against certain Precisely Enrich Data resources. Entitlement to the Data Graph API allows a Customer to query any of the following datasets available (each a “Dataset”). Contact your Precisely sales representative for details.
Data Graph API Dataset |
Description | Credits per Record |
Address Fabric™ Data | A current and comprehensive list of all known addresses for a country | 1 |
Buildings | Detailed building footprints enriched with characteristics to provide insights related to structures on a property | 3 |
Coastal Risk | Information pertinent to shorelines and coastal areas subject to hurricanes, storm surge, flooding, and other natural disasters | 2 |
CrimeIndex | Measures the likelihood of where crime may occur and provides crime risk scores at the granular block group level | 1 |
Data Link for Dun & Bradstreet | Returns the DUNS® Number, a globally recognized business identifier, for precise business identification. | 3 |
Earth Risk | Nationwide coverage of land related risks including earthquakes, landslides, lava flows, sinkholes, and hazardous soils to help stakeholders understand risk by geography | 3 |
Flood Risk | Current flood mapping data from the Federal Emergency Management Agency (FEMA) | 1 |
GroundView Demographics | Socioeconomic information such as household income, race, and consumer spending habits at a census block level | 1 |
Historical Weather Risk | Comprehensive historical records of hazardous weather data including hurricane, hail, tornado, and windstorm events | 1 |
Neighborhoods | Identifies and names metro areas, neighborhoods, and residential communities as they are experienced by locals who live there | 6 |
Parcels | Property boundaries and attribution to support property analysis and linkage to other property features | 3 |
Places | Accurate business locations and information about the businesses | 2 |
Property Attributes | Information to gain insights about a location, providing valuable attributes about the characteristic makeup of a property (see applicable flow down terms below) | 2 |
Property Fire Risk | Scoring related to firefighting response based on fire station locations and drive times for a physical address | 4 |
PSYTE™ Geodemographics | Segmentation data to provide easy-to-understand classification of neighborhoods | 4 |
Schools | Information about school campuses | 2 |
Serviceability | Information about mail delivery indicators, detailed land use information, and building designations such as multi-dwelling unit, multi-tenant unit, or mixed-use property | 1 |
Wildfire Risk | Scoring using modeled data incorporating various factors including terrain, climate, human activities, slope of the land, type of vegetation, frequency of past fires, proximity to water, wind patterns, non-burnable surfaces, and the distance to fire stations to assess wildfire hazards and risks | 36 |
Allotment and Credits Usage:
In the context of the Data Graph API, the following terms have the meanings below regardless of how defined in other governing agreements:
“Allotment” means the number of Credits purchased by Customer to be used to access Records.
“Billing Period” means the period set forth in an Order for which an Allotment has been purchased. This will typically be a year period but could be otherwise as mutually agreed.
“Credit” means the number of pre-purchased credits in an Order to by used the purchase Record output as described below.
“Customer Data” in the context of the Data Graph API means any data, such as an address record, geographic data, telephone number, individual or business record or user query, or other material submitted by Customer to the Service or provided by Customer to Precisely for the performance of the Service.
“Record” means each individual grouping of associated data elements. For clarity, in a database, a record is the row not the column(s) of individual fields. Examples of a Record include a Building returned by a query. Other examples include an address or a place or a parcel, depending on which API is queried. Multiple Records can be returned in a single query.
Transacting with Credits:
1. Once an Allotment of Credits is purchased pursuant to an Order, those Credits can be used to transact in the Data Graph API Service.
2. The number of Credits used will based on the number of Records returned from a Customer query for each Dataset (output-based pricing) using the allocation model in the table above. Credits will be used per Record received regardless of the number of fields returned in the query.
Additional Applicable Terms:
Certain of the products above are configured with a Locate Reporting component (which may or may not be separately called out in an Order).
The following additional terms are required flow down terms applicable to these Services:
Region—United States | |
Products | Required Flow Down Terms |
Data Link for Dun & Bradstreet | https://www.precisely.com/legal/licensing/data-link-for-businesses-acknowledgement-03-2025 |
Places | https://www.precisely.com/legal/licensing/points-of-interest-data |
Property Attributes | https://www.precisely.com/legal/licensing/property-attributes-assessment |
PSYTE™ Geodemographics | https://www.precisely.com/legal/licensing/psyte-geodemographic-data-additional-terms |