Data overload

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<abstract displayLabel="Summary">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?</abstract>
<note type="statement of responsibility">David Worsfold</note>
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<topic>Big data</topic>
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<topic>Análisis de datos</topic>
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<topic>Análisis de riesgos</topic>
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<title>Insurance post</title>
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<publisher>London : Infopro Digital Insurance Information , 2016-2022</publisher>
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<identifier type="local">MAP20170035732</identifier>
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<text>01/04/2019 Año 2019 Número 4 - abril , p. 42-45</text>
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