Business Relationships Analytics

The Business Relationships Analytics dataset, jointly developed by S&P Global and Redgraphs, encompasses over 600,000 entities and 1.6 million relationships. Redgraphs an innovative tech company with a goal of bringing transparency to the complex network of intercompany relationships that shape global commerce. The dataset is created by capturing known customer and supplier relationships through regulatory filings and modeling unknown values using a patented algorithmic process. Users can leverage Business Relationships Analytics to conduct stress tests using customer-supplier data, which can help evaluate how companies might perform under different economic conditions, aiding in risk management and portfolio allocation. Additionally, this dataset helps effectively track actual and estimated missing money flows between companies. This comprehensive approach helps map a robust global business network, providing valuable quantitative and qualitative insights. This dataset includes: - Comprehensive coverage of customer-supplier relationships - Algorithm that utilizes artificial intelligence (AI) and natural language processing (NLP) to analyze large datasets - A fully characterized economic network that can be analyzed for signals on a point-in-time basis

搜集汇总

背景与挑战

背景概述

该数据集由S&P Global与Redgraphs合作开发，涵盖60万实体和160万商业关系，通过监管文件与专利算法构建客户-供应商网络，支持基于AI/NLP的压力测试和资金流分析，为全球商业网络映射与风险管理提供量化工具。