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Data overload

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<rdf:Description>
<dc:creator>Worsfold, David</dc:creator>
<dc:date>2019-04-01</dc:date>
<dc:description xml:lang="es">Sumario: Data 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?</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/167779.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Big data</dc:subject>
<dc:subject xml:lang="es">Análisis de datos</dc:subject>
<dc:subject xml:lang="es">Análisis de riesgos</dc:subject>
<dc:subject xml:lang="es">Tratamiento de datos</dc:subject>
<dc:subject xml:lang="es">Nuevas tecnologías</dc:subject>
<dc:subject xml:lang="es">Empresas de seguros</dc:subject>
<dc:subject xml:lang="es">Desarrollo del seguro</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Data overload</dc:title>
<dc:relation xml:lang="es">En: Insurance post. - London : Infopro Digital Insurance Information , 2016-2022. - 01/04/2019 Año 2019 Número 4 - abril , p. 42-45</dc:relation>
</rdf:Description>
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