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

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<title>Flaws in the data</title>
<subTitle>: businesses must avoid the falty models and algorithms that can poison their results</subTitle>
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<abstract displayLabel="Summary">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.</abstract>
<note type="statement of responsibility">Katherine Heires</note>
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<title>Risk Management Magazine</title>
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<publisher>New York : Risk and Insurance Management Society, 1982-</publisher>
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<identifier type="issn">0035-5593</identifier>
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<text>03/04/2017 Volumen 64 Número 3 - abril 2017 , p. 38-42</text>
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