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Webinar
Live Webinar
In today´s ever-growing data landscape, organizations are continually integrating multiple data sources and facing challenges in ensuring the accuracy of their centralized entity master. This workshop is designed to address the difficulties encountered when mapping and maintaining the company universe to the correct internal or external identifiers. Join us for a live session in which we will provide a streamlined S&P Global Marketplace Blueprint using automated entity recognition and a machine learning entity recognition solution, built by Kensho, the AI-innovation arm of S&P Global.
During the workshop, we will demonstrate how the Business Entity Cross Reference Service (BECRS) dataset can automate the initial linking process and manage unmapped companies using Kensho Link, an advanced machine learning model. The model processes company names and matches them to unique entity-level identifiers with a high confidence score, ensuring comprehensive coverage and accuracy. Additionally, each entity within the universe will be rolled up to its ultimate parent, offering a clear and concise view of company hierarchies and relationships.
S&P Global Market Intelligence
Head of S&P Global Marketplace Workbench
Onik is a Product Manager and leads the Analytical Platforms and Services in S&P Global Market Intelligence division.
Lead, Product Management & Development
Lance has been with S&P Global for 25 years, primarily working on the industry leading Cross Reference mapping solution for clients around the globe.
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