Predictive modelling across customer lifetime

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<rdf:Description>
<dc:creator>Luo, Mandy</dc:creator>
<dc:date>2017-05-01</dc:date>
<dc:description xml:lang="es">Sumario: Despite being a classic data driven business, the insurance industry is often regarded as slow in comparison to Amazon and Netflix. But one thing is for su re: insurers are catching up with advanced analytics methods such as predictive modelling. Ms Mandy Luo of ReMark demonstrates the power - and the value - of prediction. </dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/160690.do</dc:identifier>
<dc:language>spa</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Seguro de vida</dc:subject>
<dc:subject xml:lang="es">Predicciones</dc:subject>
<dc:subject xml:lang="es">Comportamiento del consumidor</dc:subject>
<dc:subject xml:lang="es">Modelos predictivos</dc:subject>
<dc:subject xml:lang="es">Hábitos de vida saludable</dc:subject>
<dc:subject xml:lang="es">Data driven</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Predictive modelling across customer lifetime</dc:title>
<dc:relation xml:lang="es">En: Asia insurance review. - Singapore : Ins Communications Pte Ltd., 2009- = ISSN 0218-2696. - 01/05/2017 Número 5 - mayo 2017 , p. 66-68</dc:relation>
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