European life insurers are finding analytics treasures : 2020 life insurance predictive analytics survey
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20200038368 | ||
| 003 | MAP | ||
| 005 | 20220911190405.0 | ||
| 008 | 200310s2020 gbr|||| ||| ||eng d | ||
| 040 | $aMAP$beng$dMAP | ||
| 084 | $a341 | ||
| 245 | 1 | 2 | $aEuropean life insurers are finding analytics treasures$b: 2020 life insurance predictive analytics survey |
| 260 | $aLondon$bWillis Towers Watson$c2020 | ||
| 300 | $a12 p. | ||
| 520 | $aRecent years have seen more life insurers adopting the predictive analytics and automation that have already become a competitive necessity for property and casualty (P&C) insurers around the world. Predictive analytics involves the use of data (often entiched from external sources) to identify and analyse patterns and trends to better predict what may happen, and to inform business decisions. The analytics can be simple, but insurers increasingly have a toolbox of more advanced techniques, such as machine learning, at their fingertips. | ||
| 650 | 4 | $0MAPA20130017037$aAnálisis predictivos | |
| 650 | 4 | $0MAPA20080590567$aEmpresas de seguros | |
| 650 | 4 | $0MAPA20080570590$aSeguro de vida | |
| 650 | 4 | $0MAPA20080586294$aMercado de seguros | |
| 650 | 4 | $0MAPA20080568009$aAutomatización | |
| 650 | 4 | $0MAPA20080550592$aEncuestas | |
| 651 | 1 | $0MAPA20080637743$aEuropa | |
| 710 | 2 | $0MAPA20170016144$aWillis Towers Watson |