Intelligent transformations : data-driven changes to the insurance industry
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20200040132 | ||
| 003 | MAP | ||
| 005 | 20230321114021.0 | ||
| 008 | 201223s2020 deu|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a216 | ||
| 245 | 0 | 0 | $aIntelligent transformations$b: data-driven changes to the insurance industry |
| 260 | $aMunich$bFadata Group$c2020 | ||
| 300 | $a5 p. | ||
| 490 | 0 | $aWhite Paper | |
| 520 | $aThe insurance industry has a legacy originating in the 17th century, with many of today's brands having been household names for generations. But to remain competitive and relevant in 2020, pivoting to embrace the very latest in data science and other technologies is essential across every sectorand the management of risk is no different. Successful insurance brands will be those who optimise data-driven learning and change, while bringing their established and trusted brand values with them to a new customer base. | ||
| 650 | 4 | $0MAPA20080586294$aMercado de seguros | |
| 650 | 4 | $0MAPA20080578848$aAnálisis de datos | |
| 650 | 4 | $0MAPA20140022717$aBig data | |
| 650 | 4 | $0MAPA20170006503$aTransformación digital | |
| 650 | 4 | $0MAPA20080586546$aNuevas tecnologías | |
| 650 | $0MAPA20220007825$aData driven | ||
| 710 | 2 | $0MAPA20200024392$aFadata Group | |
| 830 | 0 | $0MAPA20130007052$aWhite paper |