Commercial Prospecting
收藏Snowflake2024-02-16 更新2024-05-01 收录
下载链接:
https://app.snowflake.com/marketplace/listing/GZT0Z1SQJNLWB
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资源简介:
The Commercial Prospecting dataset provides commercial property data and UCC liens data combined with business listings across the U.S. This dataset enables technology-driven lead generation and strong contact management, allowing you to easily screen Commercial Properties and Commercial & Industrial (C&I) Liens in conjunction with Business Listings across the U.S to evaluate lending opportunities. Leverage Commercial Prospecting to get a clear picture of outstanding loans in the markets, identify creditors and debtors, and additionally, businesses across different industries with detailed firmographics.
This dataset enables streamlined due diligence using detailed information on businesses. Utilize Commercial Prospecting to generate new Commercial Real Estate (CRE) and C&I lending leads. In addition, Commercial Prospecting can help identify market and NAICS industry-level probability of default along with mortgage exposure by lenders.
This dataset includes:
- Commercial Properties: Loan origination and property data for 25M+ commercial properties – loan origination data for 75% of U.S. counties.
- Business Listings: Provides details on 40M+ businesses across the U.S. detailing firmographics and geographic attributes, along with the Probability of Default for the respective NAICS industries on a state and county level.
- UCC Liens: Over 80M C&I Liens available via Uniform Commercial Code (UCC) filings for 45 states.
Additionally, we provide linking between Commercial Properties, Business Listings and UCC Lien Entities, as well as the ability to tie Business Listings to Capital IQ Pro-covered companies to allow a broader view of the market and other datasets associated with those companies.
提供机构:
S&P Global Market Intelligence
创建时间:
2024-02-16
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集整合了美国商业地产、UCC留置权及企业名录数据,用于技术驱动的线索生成和联系人管理,以评估贷款机会并简化尽职调查流程。它包含超过2500万商业地产、4000万企业名录及8000万留置权记录,并支持数据间的关联分析,帮助识别市场风险和行业违约概率。
以上内容由遇见数据集搜集并总结生成



