bigdata final(이지은)

© 2013 IBM Corporation

Building Information Strategy for Big data : Think B.I.G.


2

Agenda

1. Big data is business opportunity

2. Essential technologies for new computing era

- Big data , Integration & Governance

3. IBM Big data platform for B.I.G as your information Strategy

- Think BIG


3

“At the World Economic

Forum last month in Davos,

Switzerland, Big Data was a

marquee topic. A report by

the forum, “Big Data, Big

Impact,” declared data a

new class of economic

asset, like currency or gold.

“Companies are being inundated

with data—from information on

customer-buying habits to

supply-chain efficiency. But

many managers struggle to

make sense of the numbers.”

“Increasingly, businesses are

applying analytics to social

media such as Facebook and

Twitter, as well as to product

review websites, to try to

“understand where customers

are, what makes them tick and

what they want”, says Deepak

Advani, who heads IBM’s

predictive analytics group.”

“Big Data has arrived at

Seton Health Care Family,

fortunately accompanied by

an analytics tool that will

help deal with the complexity

of more than two million

patient contacts a year…”

“Data is the new oil.”

Clive Humby

The Oscar Senti-meter — a

tool developed by the L.A.

Times, IBM and the USC

Annenberg Innovation Lab

— analyzes opinions about

the Academy Awards race

shared in millions of public

messages on Twitter.”

데이터가 천연자원이라면 100년 전 정유 기술이 그러했듯이 빅 데이터 기술은 비즈니스 혁신 및 변화를 리드합니다.

“…now Watson is being put

to work digesting millions of

pages of research,

incorporating the best clinical

practices and monitoring the

outcomes to assist

physicians in treating cancer

patients.”

데이터는 천연자원이다? – “ Data is the new Oil”

In its raw form, oil has little value. Once processed and

refined, it helps power the world.


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Collectively analyzing the broadening Variety

Responding to the

increasing Velocity

Cost efficiently processing the growing Volume

Establishing the

Veracity of big data sources

1 in 3 business leaders don’t trust the information they use to make decisions

50x 35 ZB

2020 2010

30 Billion RFID sensors

80% of the

worlds data is unstructured

빅 데이터 특성 – Volume! Velocity! Variety! Veracity!

대용량, 신속성, 다양성을 특징으로 하는 빅 데이터에 대한 신뢰성 확보는 빅 데이터 비즈니스 활용을 위한 중요한 요소입니다.


5

6,000,000 users on Twitter

pushing out 300,000 tweets per day

500,000,000 users on Twitter

pushing out 400,000,000 tweets per day

1333x

빅 데이터 특성 – exploding everyday

83x

빅 데이터는 시간이 흐름에 따라 더욱 폭발적으로 증가하고 있습니다.


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Transactional and Application Data

Machine Data Social Data

Volume

Structured

Throughput

Velocity

Semi-structured

Ingestion

Variety

Highly unstructured

Veracity

Enterprise Content

Variety

Highly unstructured

Volume

새로운 데이터 소스로의 도전 - 새로운 비즈니스 기회

전통적인 데이터 소스 뿐 아니라 빅 데이터를 생성하는 다양한 데이터 소스를 활용하여 새로운 비즈니스 기회를 창출합니다.


7

Retailer reduces time to run queries by 80% to

optimize inventory

Stock Exchange cuts queries from 26 hours to

2 minutes on 2 PB

Government cuts acoustic analysis from hours to

70 Milliseconds

Utility avoids power failures by analyzing

10 PB of data in minutes

Telco analyses streaming network data to reduce hardware costs by 90%

Hospital analyses streaming vitals to detect illness

24 hours earlier

모든 기업이 고민하는 빅 데이터 – 새로운 비즈니스 기회

모든 기업들은 빅 데이터 분석에 대한 도전을 새로운 비즈니스 기회로 활용하고자 노력합니다.


8

Smarter Inventory

Management

다양한 기업이 빅 데이터를 활용한 분석을 통하여 비즈니스 효과를 실제 경험하기 시작하였습니다.

Smarter IP

Management

$100 Million

Reduced working capital by more than

Smarter Crime

Prevention

300%

Grew list of potential license

partners by

30%

Cut serious crime

by

빅 데이터를 활용한 분석 – from the possible to the proven


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Agenda





- Think BIG


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Information from Everywhere

Radical Flexibility

Extreme Scalability

New Era of Computing Requires

빅 데이터 시대 – New Era of Computing

빅 데이터는 새로운 컴퓨팅 시대를 의미하며 유연성과 확장성을 기반으로 모든 가용한 정보를 분석 활용할 수 있는 기술이 요구됩니다.


11

Technology Makes it Possible

to Analyze ALL Available Data

Cost effectively manage and analyze

all available data in its native form

unstructured, structured, streaming

ERP CRM RFID

Website

Network Switches

Social Media

Billing

빅 데이터 기술을 통하여 모든 가용한 데이터에 대한 분석

비용 효율성을 고려하여 모든 가용한 데이터 에 대한 분석이 가능하도록 하는 빅 데이터 분석 기술이 필요합니다.


12

Manage & store huge

volume of any data

Hadoop File System

MapReduce

Manage streaming data Stream Computing

Analyze unstructured data Text Analytics Engine

Data Warehousing Structure and control data

Understand and navigate

federated big data sources Federated Discovery and Navigation

빅 데이터 분석을 위한 기술 요소 - Big data Analytics for 3V

빅 데이터 분석을 위한 주요 신 기술요소는 다음과 같습니다.


13

Make decisions on untrustworthy data

1 in 3

60% have too much

data

Lack the information they need

1 in 2

100

80

60

40

20

2005 2010 2015

Content

Transaction & application data

Machine data

Social media

Un

ce

rta

inty

%

0

데이터 불확실성의 증가

데이터의 양적 증가뿐 아니라 빅 데이터 환경이 더욱 복잡해짐에 따라 데이터의 불확실성은 계속 증가합니다.


14

Information Is Understood

Information is Correct

Information is Current

Information is Secure

Information is Holistic

Information is Shared

빅 데이터 기술을 통하여 가용한 데이터에 대한 신뢰성 확보 for 4th V

비즈니스 사용자가 정보를 신뢰할 수 있을 때 빅 데이터는 진정한 가치를 제공합니다.


15

Big Data Analytics

The ability to process any

variety, volume, and

velocity of information and

to derive insight

Information Integration

& Governance

The ability to create

trusted information

빅 데이터 분석을 위한 기반요소 – Information integration & Governance

신뢰성 있는 빅 데이터 분석은 정보 통합 및 거버넌스 기술을 기초로 합니다.


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Big data , Information Integration & Governance

Scale to Handle the Big Data Explosion

•Integration performance and scalability

•Lifecycle management to retire data

Mask Increasing Complexity

•Simpler integration and governance capabilities

•Business-driven governance

Provide Agility for Faster Deployments

•Proactive

•Capabilities embedded in the consuming application

Sources Consumers

빅 데이터 시대 – 정보 통합 및 거버넌스의 중요성


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Agenda





- Think BIG


18

IBM Big data platform

빅 데이터는 정보리소스 활용을 위한 정보 전략입니다.


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IBM Big data platform – Big data , II & Governance

IBM은 빅 데이터 정보 전략수립을 위한 빅 데이터 코어 기술과 정보 통합, 거버넌스를 아우르는 B.I.G 플랫폼을 제공합니다.


20

Trusted Information

Improved Business Value

Visualization and Discovery Text Analytics Big data , Data Warehousing, Analytics

Information Strategy - Turn big challenges into big insights

Mobile Transactions Content Applications

Uncertain Data

Data Lifecycle Management


Meta data and Information Governance Policies

Data Quality

Master Data Management

Privacy & Security

Increase revenue with analytics

Reduce data costs

Retain important clients

Identify risk & fraud

Effectively launch new products

Deliver cost-effective compliance

Social Media

Machine Data

Data Management Stream Computing

Hadoop System

IBM B.I.G 플랫폼을 통하여 비즈니스에 가치를 제공합니다.


21

Build your information strategy

Leverage analytics

as a game-changer

Embrace big data

to maximize your

business outcomes

Get inspired and

take action

빅 데이터 시대의 정보 전략 수립은 기업 성공의 중요요소입니다. 이를 위하여 비즈니스 니즈에 기반한 빅 데이터 분석력, 신뢰할 수 있는 통합된 정보, 비용효율적인 플랫폼 확보가 필요합니다.


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Trusted Information

Improved Business Value

Visualization and Discovery Text Analytics Big data , Data Warehousing, Analytics

Information Strategy - Turn big challenges into big insights

Mobile Transactions Content Applications

Uncertain Data

Data Lifecycle Management


Meta data and Information Governance Policies

Data Quality

Master Data Management

Privacy & Security

Increase revenue with analytics

Reduce data costs

Retain important clients

Identify risk & fraud

Effectively launch new products

Deliver cost-effective compliance

Social Media

Machine Data

Data Management Stream Computing

Hadoop System


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Thank You