Flaws in the data : businesses must avoid the falty models and algorithms that can poison their results

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<rdf:Description>
<dc:creator>Heires, Katherine</dc:creator>
<dc:date>2017-04-03</dc:date>
<dc:description xml:lang="es">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.</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/160037.do</dc:identifier>
<dc:language>spa</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Gerencia de riesgos</dc:subject>
<dc:subject xml:lang="es">Data driven</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Flaws in the data : businesses must avoid the falty models and algorithms that can poison their results</dc:title>
<dc:relation xml:lang="es">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. 38-42</dc:relation>
</rdf:Description>
</rdf:RDF>