Flaws in the data : businesses must avoid the falty models and algorithms that can poison their results
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| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20170013013 | ||
| 003 | MAP | ||
| 005 | 20220911211834.0 | ||
| 008 | 170419e20170403esp|||p |0|||b|spa d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a7 | ||
| 100 | $0MAPA20140020133$aHeires, Katherine | ||
| 245 | 1 | 0 | $aFlaws in the data$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 | ||
| 773 | 0 | $wMAP20077000291$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 |