China Bank BigData Usecase

Huawei FusionInsight Solution

Steven Yuan, Director of Bigdata Research and Development

2

Agenda

1. BigData Trend

2. China Bank Business Challenges & Requirements

3. Huawei’s BigData Solution

4. Result and System Status

5. Bank BigData Project Suggestion

6. Why Choose Huawei as a BigData Solution Partner

3

Industry Trend: Big Data

More users More terminals

> 18 billion network

connections

(2020, people and staff)

> 6.5 billon network users

(2020)

Big data

X =

Growth in handsets and devices brought about the growth of big data.

In the year 2012, 2.4ZB (1021) data was generated globally, equal to 3 trillion DVDs, the total historical sum.

4

Industry Trend: Big Traffic

X =

Sharing and cooperation are natural attributes of human society, the freedom of anytime, anywhere are the basic needs, and these are driving the digital flood.

Between 2002-2012, Internet traffic increased 100 times, reaching 502EB in 2012, which is the equivalent of 6 billion people on earth downloading 100 DVDs.

Social Sharing and Team Cooperation

Unlimited Freedom Big data, Digital Flood

5

Industry Trend: Big Wisdom

On the internet, nobody knows that you are a dog.

— 1993 New Yorker

Data when structured and analyzed becomes insight and knowledge, this data management will become a core business competency.

From big data to big wisdom, to insight, to predictions, to management, to making scientific decisions.

“Information is the oil of the 21st century, and analytics is the

combustion engine,”

- Peter Sondergaard, senior vice president at

Gartner

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Big Data Analysis Is Penetrating All Aspects of Enterprises Application-oriented Data-oriented

Transform to

Architecture transformation

Second data platform,

mobile, cloud computing

Application

Application Application

Data Application

Analysis capability

Analysis capability

Analysis capability

Data Data

Data

+

Require comprehensive Big Data platforms Complex data analysis technologies

Industry solutions

Easy

maintenance

and high

scalability

Tools for

automation

Service

Standardization

Vertical

Big Data

Service analysis determines

business revolution

7

China Bank Business Challenges

Traditional System Cannot Meet New Business Demanding

Traditional Data

Process Platform:

Single Transaction

Centric System

POS

ATM

Teller

Telephone

Internet

RDBMS DWH

Challenges:

Slow, Off-line , Silo Data

Expensive and not scale.

Hard to develop new business, such as P2P loan, Mobile payment, Internet Payment Platform, etc.

8

China Bank Requirements

Finance Assets

Social Sentiment Index

Transaction History Query

Online Credit Check

Transaction Remark

Real time Promotion

Traditional Data

Process Platform：

Single Transaction

Centric System

New BigData

Platform:

Parallel、

Query/Analytics

POS

ATM

Teller

Telephone

Internet

Finance Context Relations

Real Time

Batch Internet

BigData Biz

Requirement：

Real time on-line

Business continuity

Cross multivariate Data

Security

Reliability

Easy to Use

9

China Bank- Huawei Joint Innovation Project: Build

a New BigData Platform

Possible Asset

Target marketing

Finance network

FusionInsight BigData Platform

…

DB/DW

Credit Check：10+ days Credit Check：2～5 Sec

Off line Transaction

History Query

Online History Breakdown

Structured, Semi-structured, unstructured

Bank

Structured Data

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Huawei FusionInsight BigData Solution

Reliable •HA components •DR •Distributed architecture •N+M data protection

Security • Role-based access control (RBAC) • Classified protection for Finance customer • Kerberos integration • Data layer encryption

Simple •Life-cycle data management •User-defined dashboard •Redevelopment widgets

Porter Data

Integration

Manager

Storm

Miner: Data Mining

Farmer: Data Service

Carrier Bank Enterprise

OceanStor 9000

X86 Servers

MPP DB

HDFS/HBase

Yarn/ Zookeeper

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Project 1：Historical Transaction Detail Query

X86 Server X86 Server X86 Server X86 Server

HDFS

ZooKeeper HBase/CTBase

Hadoop

Farmer

Query Request and Dispatch

Distributed App Container

History Query BUL1

…

TeleBank Internet System

FusionInsight Farmer: Easy for client or ISV to

develop appllication. FusionInsight Platform

is open and optimized Platform.

FusionInsight Farmer: Support multi-

applications current access.

FusionInsight Farmer: Support Socket、Web

interface，seamless integration with existed

system.

CTBase Solution，Unique cluster table/cluster

index enhancement to support multi-table co-

relation query.

Hbase support both SQL、Java API

programming

Operation & Manager

Data Integration

FusionInsight

History Query BLU2

History Query BLUn

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Int

Mob

PAD

Tel

Laptop

Terminal

Client info

Supplement info

Application Template

Information Collection

业务系统2

业务系统3

业务系统4

业务系统5

业务系统1

获取数据1 获取数据2 获取数据3 获取数据4

资信策略1 资信策略2

资信策略1

资信策略3 资信策略2

资信策略1

获取数据5

资信策略2 资信策略3 资信策略3

Central Bank Interface

Bank of China

ID Check

Police Social Insurance

Information Platform

Pre-check Check

Check Policy

Deployment

Check Strategy Loan

Server

Card Delivery

Core System

Card Delivery

Front System

Accept Platform

Initial filter Distribution List

Query

Project 2：Real Time Credit Check

Loan Applica

tion

Batch Check

Real Time Credit Check

Policy Deployment

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Support Real time Personalized Marketing Recommendation for Smartphone, Internet banking

Project 3: Personalized Marketing Recommendation

STREAM

OFF LINE

DATA WH

DATA ETL

Credit Retail

Request Data Transfer

Message pass

客户接触渠道

Text

Internet Banking

WeChat Mobile

Voice Message（IVR）

Call Center

Teller/Counter

ATM

DIS DATA

Real Time On-Line Off-Line

PAD

Email

VTM POS

REC ENGINE

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Realtime Credit Check

Result and System Status

Historical Detail Query

• Unify the storage of all transaction

historical data. Easy to manage and

scale.

• Support current 5 years historical

transaction query

Customer Behavior Analysis

Use machine-learning and multi-dimension

analysis to improve:

• 3 seconds credit check.

• Instant finish credit card approval

and small loan grant.

• Small and micro loan analysis

• Possible finance asset prediction

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BigData Project Suggestion

1. Top Down Initiative (CxO level support. For this bank case: CIO

directly involved in the early planning stage and was in the whole

decision making process)

2. Joint PoC with Strong Technical Partner

3. Start with Less Risk Project: (From Historical Transaction Query to

on-line Credit Check, then to Personalized Marketing

Recommendation)

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Why Choose Huawei as a BigData Solution Partner

Nanjing R&D： RTD

Shenzhen R&D： Hadoop/Miner/Streaming India R&D：

Streaming Hadoop Data Visualization

US R&D： Gauss DB Data Mining

European R&D： Streaming

Hangzhou R&D： Data Governance

Canada R&D： Scheduling Finance and Video

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portfolio, new technology, etc. There are a number of factors that could cause actual results and developments to differ materially from those expressed or implied in the predictive

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