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SAMPLE Location Intelligence Data Suite | Comprehensive view of where and how active businesses ...

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Databricks2025-05-29 收录
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https://marketplace.databricks.com/details/33090cfe-08f2-4505-ac1e-424d25975a8d/Veridion_SAMPLE-Location-Intelligence-Data-Suite-Comprehensive-view-of-where-and-how-active-businesses-
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Veridion's Location Intelligence Data Suite provides a comprehensive view of where and how businesses operate globally. It delivers granular, structured intelligence across more than 134 million active business entities in 249+ countries and territories. This extensive global coverage includes emerging markets and regions where data from other vendors may be limited. Veridion's data universe covers all companies with a digital footprint. The Location Intelligence data identifies and maps all operational locations linked to a business, regardless of its legal entity structure. This includes differentiating between the Headquarters (HQ) and all secondary physical locations. Beyond HQs and standard branches, it covers a wide range of specific facility types, including manned and unmanned operational locations. These facilities can be classified into 100+ categories, such as office, factory, warehouse, or retail outlet. The data also covers subsidiaries and field offices. Veridion is capable of identifying facility types mapped to companies through its granular taxonomy of business activities. Examples of identified facility types include those in energy and utilities (power plants, renewable energy installations, oil and gas facilities), manufacturing hubs, tech centers, supply chain nodes, and specialized facilities like data centers. The classification of facility types is provided across multiple levels of detail, currently supporting Level 1 (L1) in production. Planned enhancements for 2025 include expanding the taxonomy to include Level 2 (L2) with more than 100 unique values and Level 3 (L3) classifications for more precise categorization. For each location, Veridion provides detailed attributes: - Full Address: Including Country, Region, City, Postcode, Street, and Street Number. - Geo-coordinates: Precise Latitude and Longitude. - Location Type: Classification into 100+ categories. - Operating Metrics: Includes estimated Employee counts and Revenue at the location level. - Business Descriptions & Activity Tags: Descriptions of what is happening at each specific site, including key operations and detailed activity tags. - Operational Status: Tracking whether a location is active or inactive. - Industry Classifications: Location-specific NAICS, SIC, ISIC, and proprietary classifications. Veridion's location data is built from first-party disclosed information from public web sources such as company websites, social media, press releases, regulatory filings, geolocation services, and media reports. Advanced AI and Natural Language Processing (NLP) technologies are used to extract and structure this information. Proprietary AI models and custom infrastructure process billions of data points. Data triangulation and advanced correlation techniques are employed to tie signals to legal and commercial entities and connect entities across different geographies. A key differentiator is the High-Frequency Updates. Veridion's entire dataset, including location data, is refreshed weekly. This ensures companies consistently have access to the most accurate and reliable information. Weekly updates capture changes in business locations, operations, address types, functions, and operational status with exceptional speed. Ad hoc updates can also be performed based on specific customer requests. Data Quality and Accuracy are ensured through a robust, multi-faceted methodology. Veridion consolidates data from multiple sources, resolves data conflicts, and infers missing information. Data is cross-referenced against multiple structured company information sources. Each data point is assigned a confidence score, reflecting the number and reliability of sources used. Only data with sufficient certainty in its accuracy is included. AI-driven models actively detect inconsistencies and refine datasets. Reliability scores for location-level data are assigned based on evaluation of multiple sources. Veridion is developing a system to make these reliability scores directly accessible to customers. Veridion's location data is linked to the company level. Every operational location is linked to its ultimate parent company, delivering a unified and scalable enterprise hierarchy. This enables cross-border visibility and accurate entity resolution. Location data can be appended with additional company data such as revenue, employees, business description, and ESG data. Since data is collected at the individual entity and facility level, it can be aggregated at portfolio levels without compromising granularity. Veridion's detailed locational data is critical for various use cases, including: - Supply Chain Risk Management: Provides crucial insights into the geographical distribution of suppliers for risk assessment, compliance checks, and strategic planning. It allows mapping the entire supply chain to identify regions with higher risks, such as areas prone to natural disasters or geopolitical issues. Proactively excluding suppliers from high-risk areas mitigates potential legal and reputational risks. * **Insurance Underwriting**: Supports assessing risks associated with specific locations, such as proximity to high-risk areas prone to natural disasters. It provides crucial details for risk assessment, including the new address, geographical risks, and property details associated with a location. Veridion's data helps refine commercial insurance operations by providing precise, timely data on locations. - Third-Party Risk Management (TPRM): Essential for evaluating regional risks associated with the geographic locations of third parties, including political stability and regulatory environments. It helps identify potential Foreign Ownership, Control, or Influence (FOCI) risks related to suppliers having operations in specific locations. - ESG Analysis: Invaluable for conducting analyses on climate risk, greenhouse gas (GHG) emissions, biodiversity exposure, and human rights risks at specific locations. Accurate locational data helps assess and mitigate location-specific ESG risks effectively and fill gaps for company reporting. It supports compliance with regulations like the EU Green Taxonomy which can relate to the activities at a specific site. - Supplier Discovery & Sourcing: Enables finding companies based on granular criteria, including location and location radius. Identifying suppliers within preferred logistical zones facilitates efficient supply chain management. Location data helps identify optimal locations for setting up new manufacturing units and finding local suppliers. Veridion's location data is delivered via Batch, API, and Platforms. The Match & Enrich API can provide details, including location data, in approximately 1.5 seconds from simple inputs like a business name or address, speeding up processes like quote-to-bind in insurance. The Complex Search API allows searching the database based on various criteria, including location.
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