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Copyright © 2015 Oracle and/or its affiliates. All rights reserved. | Patrick Y. Ng, FRM Financial Services Industry Solutions May 20, 2015 金融行业大数据的应用和案例 Big Data in Financial Services Industry & Case Studies

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Page 1: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

Patrick Y. Ng, FRM Financial Services Industry Solutions May 20, 2015

金融行业大数据的应用和案例 Big Data in Financial Services Industry & Case Studies

Page 2: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

Safe Harbor Statement

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

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Page 3: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

大数据发展趋势 Key Trends in Big Data in Financial Services Industry

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Page 4: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

“At the Internet age, we can not confront the challenges of the future by doing the things as was thought 20 years ago”

La Caixa Bank Statement

需要差异化的战略,以应对数码化时代 Differentiated approach required to address Digital Age Dynamics

“在互联网时代,我们不能简单地, 跟我们在过去 20 年做的事情以同样的方式,在做事情为未来做准备.” - 西班牙巴塞罗那储蓄银行

Page 5: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

新类型的金融机构开始在新的时代出现

使用新的大数据技术,我们发现隐藏的投资机会

Page 6: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

"We analyse real-time data to discover trends, global events and market sentiment. Armed with valuable insights we trade a broad range of financial instruments with the aim of delivering absolute returns to our clients through long-term compound growth.“ - Paul Hawtin, Founder

“我们分析实时数据,发现趋势,全球性事件和市场情绪。有了宝贵的见解,利用广泛的金融工具, 我们通过长期的复合增长提供绝对回报给我们的客户."

Page 7: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

AIG:将数据转换为利润

远见

建队 价值

Page 8: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

与传统方法的挑战 有效的客户处理需要 1:1 个性化

• 1948年出生

•英国长大

•已婚,2个孩子

•成功, 富裕,名人

•喜欢狗, 阿尔卑斯山

• 1948年出生

•英国长大

•已婚,2个孩子

•成功, 富裕,名人

•喜欢狗, 阿尔卑斯山

Page 9: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

大数据的五大特征 • 数据规模很大来源很广

• 数据对业务增值大

• 数据全息360度可见

• 数据广泛交叉复用

• 海量数据+简单模型

财产信息: 收入、财产情况、消费情况、车辆情况等

社会属性特征: 中小企业主、社会地位中层、稳定型、社交圈等

舆论情况: 新闻、行业动态、职业风险等

内容喜好特征: 体育、购物、赌博、旅游等

基础属性特征: 年龄、性别、单位、收入等

保险产品属性: 寿险、大病、意外险、养老金、教育险等

消费习惯: 历史消费情况、位置出现商家规律、付费习惯等

健康行为: 体检信息、就医信息、身体状态信息、用药信息、起居信息等

位置信息: 出没规律、出行规律、商圈级别、差旅习惯等

Page 10: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

大数据的五大特征 • 数据规模很大来源很广

• 数据对业务增值大

• 数据全息360度可见

• 数据广泛交叉复用

• 海量数据+简单模型

客户保单情况

体检/财产信息

电子商务

购物行为

话单/上网行为

用户 1

7 6

2 3 4

5

Page 11: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

大数据改变的不仅仅是技术,对业务形态的改变更直接 – 预测性分析 数据成为真正核心全息资产,巨大的信息量足以支撑以前难以完成的任务

特定场景下特定方法论的数据处理

以问题问中心 以数据为基础

• 我家附近的女生情人节有多少是单身? • 使用 i-Phone 的客户的朋友圈是否更有意愿在微博上向朋友推荐什么业务? • 不同星座和血型客户的 消费和业务情况? • 客户满意度降低跟 天气、气温、社会 新闻的关系?

Page 12: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

甲骨文大数据方案和案例 Oracle Big Data Solutions & Case Studies

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Page 13: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

在金融业的大数据热门话题

了解保险理赔的数据隐藏关系 Discover Patterns in Claims

动态实时投资分析 Real-time Investment Analysis

资金链流动性分析 Liquidity Risk Analysis

实时个性化推荐营销 Real-time Recommendations

风险预警管理应用 Early Warning Indicators for Risk Management

防欺诈分析 Anti-Fraud Analysis

Page 14: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

大数据在金融行业的应用

动态实时投资分析 Real-time Investment Analysis

实时个性化推荐营销 Real-time Recommendations

资金链流动性分析 Liquidity Risk Analysis

Page 15: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

实时个性化推荐营销

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实时营销

社交媒体的活动, 进一步增强预测客户细分

营销平台 营销推广活动

营销推广活动

营销推广活动

与客户互动 互动

社交媒体平台

趋势 销售和呼叫中心平台

互动

• 相关性,时间来跟进 • 交付给销售平台互动 营销推广活动

Page 16: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

•资产:280 亿美元 •12M 保险合同 •30,000 员工 •Part of Berkshire Hathaway 伯克希尔·哈撒韦公司, 由 沃伦·巴菲特 Warren Buffett 领导

Source: GEICO

Page 17: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. | Source: GEICO

Page 18: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. | Source: GEICO

Page 19: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

大数据在金融行业的应用

动态实时投资分析 Real-time Investment Analysis

实时个性化推荐营销 Real-time Recommendations

资金链流动性分析 Liquidity Risk Analysis

Page 20: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

了解企業客戶的綜合營運资金需求 Understanding the Corporate Client’s Integrated Working Capital Requirements

银行公司客户 Corporate Client

应收账款 Account Receivable

上游供应商 Supplier

材料和货物

$

应收账款 滚动预测

应付帐款 滚动预测

库存滚动预测

下游客户 Customers

应付帐款 Account Payable

库存 Inventory

经营性现金流 现金流赤字

正现金流盈余

Page 21: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

南亚地区领先的银行 案例 - 风险预警解决方案

数据采集 数据丰富 分析

非结构化的新闻项目 来自互联网 分析师的部门报告 银行内部数据

行业本体 自然语言处理 主题,威胁 情绪评分

交互式仪表盘 情感分析

Page 22: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

大数据在金融行业的应用

动态实时投资分析 Real-time Investment Analysis

实时个性化推荐营销 Real-time Recommendations

资金链流动性分析 Liquidity Risk Analysis

Page 23: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

Oracle Big Data Solution 如何帮助决定投资买/卖?

持有数据

交易数据

新闻和分析报告

如果我这个时候买入,是不是违背了市场的的趋势

有那么多负面消息,我是不是应该减少投资占比?

Page 24: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

新闻, 情感分值和实体名称

调查=负面情绪

新任命=积极情绪

Page 25: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

和证券相关的新闻和情绪反应 收紧企业债券作为抵押品的资格标准 Tightening eligibility criteria of corporate bond as the collateral

示例

Source: Hexun.com, Market Data, Oracle Team Analysis

Page 26: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

和证券相关的新闻和情绪反应 利用大数据技术分析消息? 午饭时间后反应? Big Data Analysis? Or, post-lunch response?

Source: Hexun.com, Market Data

示例

Page 27: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

案例 - 通过即时获取基金信息增加收入

公司

全球领先的银行,47000+员工,专门从事私人银行,投资银行和资产管理。

业务挑战

•如何让我的客户了解股票,并增加购买信心?

•如何培养顾问与客户的关系?

•如何帮助顾问知道快速服务被忽略的客户?

结果

•顾问可以非常快速建模根据各地的投资配置文件中的财务信息,为客户投资

•客户资料的导航,使他们销售以前没有重视的客户

瑞士领先全球性银行

Page 28: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM

Copyright © 2015 Oracle and/or its affiliates. All rights reserved. |

ORACLE 提供大数据技术为金融机构加强对客户的实时个性化营销,风险预警管理和投资分析

Stream 实时数据流 Acquire – Organize – Analyze 组织和分析大数据

Oracle BI Foundation Suite

Oracle Real-Time Decisions

Endeca Information Discovery

Decide 决定

Oracle Event Processing Oracle Big Data

Connectors

Oracle Data Integrator

Oracle Advanced Analytics

Oracle

Database

Oracle Spatial & Graph

Apache Flume

Oracle GoldenGate

Oracle

NoSQL

Database

Cloudera Hadoop

Oracle R

Distribution

Page 29: Big Data Solution Day - Oracle...Title Big Data Solution Day Author Ram Lakshminarayanan, Patrick Ng Subject Banking Created Date 5/20/2015 11:34:44 PM