The Swiss Cheese Data Conundrum - Solving Data Gaps with Company Hierarchy Structure Extraction

Watch a 23-minute conference talk from Data Science Conference Europe 2022 where Alicia Montoya and Nairman Maddah address the challenges of working with incomplete datasets. Explore how Swiss Re Institute's Research Commercialization team tackles the "Swiss cheese" problem of data gaps by combining internal data from various business units with external datasets. Learn about their innovative solution "Company Hierarchy End 2 End Structure Extraction (C.H.E.E.S.E.)" and discover practical approaches to developing comprehensive risk analytics and products despite data incompleteness. Gain insights into why organizations spend significant resources on data sourcing, curation, integration, and processing rather than solely focusing on model development.