Data overload
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| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20190012331 | ||
| 003 | MAP | ||
| 005 | 20220911211430.0 | ||
| 008 | 190507e20190401gbr|||p |0|||b|eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a216 | ||
| 100 | $0MAPA20080152383$aWorsfold, David | ||
| 245 | 1 | 0 | $aData overload$cDavid Worsfold |
| 520 | $aData is everywhere: good data, partial data, valuable data, bad data. Insurers need data to measure and price risks but do they take enough care in assessing the quality and provenance of the data they are using and are their processes sufficiently robust? | ||
| 650 | 4 | $0MAPA20140022717$aBig data | |
| 650 | 4 | $0MAPA20080578848$aAnálisis de datos | |
| 650 | 4 | $0MAPA20080588953$aAnálisis de riesgos | |
| 650 | 4 | $0MAPA20080599546$aTratamiento de datos | |
| 650 | 4 | $0MAPA20080586546$aNuevas tecnologías | |
| 650 | 4 | $0MAPA20080590567$aEmpresas de seguros | |
| 650 | 4 | $0MAPA20080600853$aDesarrollo del seguro | |
| 773 | 0 | $wMAP20170035732$tInsurance post$dLondon : Infopro Digital Insurance Information , 2016-2022$g01/04/2019 Año 2019 Número 4 - abril , p. 42-45 |