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Flaws in the data : businesses must avoid the falty models and algorithms that can poison their results
Recurso electrónico / Electronic resource
Colección: Artículos
Título: Flaws in the data : businesses must avoid the falty models and algorithms that can poison their results / Katherine HeiresAutor: Heires, Katherine ‌
Notas: Sumario: Given the avalanche of information that has become available to businesses over the past several years, data-driven decisionmaking (DDDM), the practice of basing business decisions on data analysis rather than intuition, has become a critical tool to help organizations reduce risk, avoid costly mistakes and take advantage of opportunities. DDDM can now be used for a variety of purposes, from determining how much to charge for a product to whether a customer should be extended a line of credit to how often an industrial m achine needs to be serviced in order to avoid unplanned downtime.Registros relacionados: En: Risk Management Magazine. - New York : Risk and Insurance Management Society, 1982- = ISSN 0035-5593. - 03/04/2017 Volumen 64 Número 3 - abril 2017 , p. 38-42Materia / lugar / evento: Gerencia de riesgos ‌Data driven ‌Otras clasificaciones: 7
Derechos: In Copyright (InC)
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