About subscription datasets

Data Integrity Suite

Product
Spatial_Analytics
Data_Integration
Data_Enrichment
Data_Governance
Precisely_Data_Integrity_Suite
geo_addressing_1
Data_Observability
Data_Quality
dis_core_foundation
Services
Spatial Analytics
Data Integration
Data Enrichment
Data Governance
Geo Addressing
Data Observability
Data Quality
Core Foundation
ft:title
Data Integrity Suite
ft:locale
en-US
PublicationType
pt_product_guide
copyrightfirst
2000
copyrightlast
2025

The datasets in the Data Integrity Suite serve as add-on features that enhance the suite's core functionality. The inclusion of these datasets provides users with enriched data, improving the accuracy, consistency, and context of information for various applications.

By offering these datasets as add-on features, the Data Integrity Suite allows you to customize their data services to meet their specific needs, providing a flexible and scalable solution for data management and enrichment.

Note: When these datasets are not included in a subscription, the text "No add-on features" is displayed, indicating that only the basic functionality of the suite is available.

Below are overviews of the key types of datasets available:

  • Enrichment datasets: These datasets include various risk factors such as coastal, earth, flood, property fire, and wildfire risks, as well as property attributes and address fabric data. They are designed to enrich data with detailed and specific information, enabling more informed decision-making.
  • Geo Addressing datasets: These datasets include geo-coding and address data for various regions, address autocomplete, and verification APIs. They provide comprehensive geo-coding data for places worldwide, enhancing the accuracy of address-related information in your applications.
  • Spatial datasets: These datasets include special spatial datasets for specific regions, providing detailed geographical data that can be used for mapping, analysis, and other spatial applications. They enhance the spatial accuracy and context of data.