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Data overload

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      <subfield code="a">Data overload</subfield>
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      <subfield code="a">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?</subfield>
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      <subfield code="g">01/04/2019 Año 2019 Número 4 - abril , p. 42-45</subfield>
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