Predictive modelling across customer lifetime
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20170019435 | ||
| 003 | MAP | ||
| 005 | 20220911211817.0 | ||
| 008 | 170613e20170501esp|||p |0|||b|spa d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a341 | ||
| 100 | $0MAPA20170007234$aLuo, Mandy | ||
| 245 | 1 | 0 | $aPredictive modelling across customer lifetime$cMandy Luo |
| 520 | $aDespite 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. | ||
| 650 | 4 | $0MAPA20080570590$aSeguro de vida | |
| 650 | 4 | $0MAPA20080563790$aPredicciones | |
| 650 | 4 | $0MAPA20080624019$aComportamiento del consumidor | |
| 650 | 4 | $0MAPA20080592059$aModelos predictivos | |
| 650 | 4 | $0MAPA20110018269$aHábitos de vida saludable | |
| 650 | $0MAPA20220007825$aData driven | ||
| 773 | 0 | $wMAP20090003767$tAsia insurance review$dSingapore : Ins Communications Pte Ltd., 2009-$x0218-2696$g01/05/2017 Número 5 - mayo 2017 , p. 66-68 |