Predictive analytics global survey results - Still room to grow for life & health insurers

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<dc:creator>Hu, Guizhou</dc:creator>
<dc:creator>Gen Re</dc:creator>
<dc:date>2018</dc:date>
<dc:description xml:lang="es">Sumario: How big is big data for life and health insurers? What are insurers worldwide focused on when it comes to predictive analytics? How are they adopting it and what are their expectations for the future? We set out to find answers to these questions through our global predictive analytics survey just released to participants this month</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/164871.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>Gen Re</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Encuestas</dc:subject>
<dc:subject xml:lang="es">Análisis predictivos</dc:subject>
<dc:subject xml:lang="es">Empresas de seguros</dc:subject>
<dc:subject xml:lang="es">Seguro de vida</dc:subject>
<dc:subject xml:lang="es">Seguro de salud</dc:subject>
<dc:subject xml:lang="es">Big data</dc:subject>
<dc:subject xml:lang="es">Perspectivas del seguro</dc:subject>
<dc:subject xml:lang="es">Modelos predictivos</dc:subject>
<dc:type xml:lang="es">Libros</dc:type>
<dc:title xml:lang="es">Predictive analytics global survey results - Still room to grow for life & health insurers </dc:title>
<dc:format xml:lang="es">3 p.</dc:format>
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