老調重談的 Bank 3.0 - 金融業討論

By Delia
at 2016-05-23T20:26
at 2016-05-23T20:26
Table of Contents
坦白講,我最討厭一些無聊的名詞
例如 bank 3.0 ,工業4.0
我簡單講一句話,bank 3.0 根本是老調重彈,一點意義也沒有,早就有的東西
Bank 3.0 (為何一定要用一些無聊的名詞)
本身就是CRM的延伸而已(含BI,Data mining),只不過新應用在網路上
Bank 3.0就是了解客戶 (利用大量的資料)
現在人喜歡開口閉口big data,我不知道一般銀行業務主官真的了解big data嗎?
還是只是一些名詞解釋
基本上 ,Big data 有很多面向,例如
1.Google,臉書 等的NOSQL,分散式資料分析
2.Data mining
這些東西其實銀行早就有了,舉個例子,你申請信用卡,銀行將你的資料去跑模型
可以算你的風險,及要不要發卡,這個模型本身就是Big data
只有不懂的人,才會一天到晚開口閉口Big data
而這些模型銀行早就做爛了,例如,車貸,房貸,信貸 等等進件評分
另外購物籃分析,交叉銷售 也都屬於 Big data的部分
只不過現在用在,利用資料分析,了解顧客,及尋找機會,創造業績
並更進一步應用在網路上
以上隨便雜談,沒有順稿
--
例如 bank 3.0 ,工業4.0
我簡單講一句話,bank 3.0 根本是老調重彈,一點意義也沒有,早就有的東西
Bank 3.0 (為何一定要用一些無聊的名詞)
本身就是CRM的延伸而已(含BI,Data mining),只不過新應用在網路上
Bank 3.0就是了解客戶 (利用大量的資料)
現在人喜歡開口閉口big data,我不知道一般銀行業務主官真的了解big data嗎?
還是只是一些名詞解釋
基本上 ,Big data 有很多面向,例如
1.Google,臉書 等的NOSQL,分散式資料分析
2.Data mining
這些東西其實銀行早就有了,舉個例子,你申請信用卡,銀行將你的資料去跑模型
可以算你的風險,及要不要發卡,這個模型本身就是Big data
只有不懂的人,才會一天到晚開口閉口Big data
而這些模型銀行早就做爛了,例如,車貸,房貸,信貸 等等進件評分
另外購物籃分析,交叉銷售 也都屬於 Big data的部分
只不過現在用在,利用資料分析,了解顧客,及尋找機會,創造業績
並更進一步應用在網路上
以上隨便雜談,沒有順稿
--
Tags:
金融業
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