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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
MARC record
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001  MAP20170013013
003  MAP
005  20220911211834.0
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040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎7
100  ‎$0‎MAPA20140020133‎$a‎Heires, Katherine
24510‎$a‎Flaws in the data‎$b‎: businesses must avoid the falty models and algorithms that can poison their results‎$c‎Katherine Heires
520  ‎$a‎Given 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.
650 4‎$0‎MAPA20080591182‎$a‎Gerencia de riesgos
650  ‎$0‎MAPA20220007825‎$a‎Data driven
7730 ‎$w‎MAP20077000291‎$t‎Risk Management Magazine‎$d‎New York : Risk and Insurance Management Society, 1982-‎$x‎0035-5593‎$g‎03/04/2017 Volumen 64 Número 3 - abril 2017 , p. 38-42