© 2014 IBM Corporation

2014 Big Data 기술 동향 및 IBM 전략

한국IBM 최안나 실장

Business Analytics / 소프트웨어그룹

© 2014 IBM Corporation2

2014년을 이끌어 갈 4가지 핵심 기술

BIG DATA &

ANALYTICS

SOCIAL BUSINESS

ENTERPRISE

MOBILITY

CLOUD COMPUTING

정보와기기에의해

더막강해진소비자/개인

폭증하는데이터를모두활용한인사이트

더가까워진

고객/기업의관계더빨라지는변화에

적응하고대응

© 2014 IBM Corporation3

1900 1950 2011

. . .Enabling New Opportunities and Outcomes

Cognitive(인지의) : 자각, 기

억, 판단, 학습 및 추론과 같

은 정신적 프로세스에 적용

되는

새로운컴퓨팅시대의도래로인한신규기회및비즈니스성과

© 2014 IBM Corporation4

�Big Data / Watson

� In the data flow

� High value Cloud

Big Data는모든개별상호작용으로부터가치를창출하여, 융합에

의한통찰력을제공

Source : IBM GTO2014 – Do not distribute

Cognitive systems are engines of insight

© 2014 IBM Corporation5

2014년에주목해야할 Big Data 동향

1 화두가아닌현실 The Hype is Over화두가아닌현실 The Hype is Over

2 더욱큰규모로성장하고있는빅데이터 Big Data Grows Bigger더욱큰규모로성장하고있는빅데이터 Big Data Grows Bigger

3 새로등장하는분석앱 Support for New Analytic Apps새로등장하는분석앱 Support for New Analytic Apps

4 진화된하둡 Hadoop Matures진화된하둡 Hadoop Matures

5 보안/개인정보보호 Security/Privacy보안/개인정보보호 Security/Privacy

6 인지컴퓨팅으로의 발전 Designing for Cognitive Computing인지컴퓨팅으로의 발전 Designing for Cognitive Computing

7 마케팅에효과를드러내는 Big Data Big Data in Marketing마케팅에효과를드러내는 Big Data Big Data in Marketing

8 최고데이터경영자 Chief Data Officer최고데이터경영자 Chief Data Officer

9 데이터사이언티스트 Data Scientists데이터사이언티스트 Data Scientists

10 데이터품질 Data Quality데이터품질 Data Quality

Source : Horizon Watch 2014 / IBM Software Strategy and Directions

“빅데이터 기술 및 서비스 시장은

2017년까지 27%의 연평균

성장률(CAGR)로 성장하여 324억 달러의

규모에 이를 것이며, 이는 정보 통신

기술(ICT) 시장 전체 성장률의 6배에

해당한다.” – IDC

© 2014 IBM Corporation6

2014년에주목해야할 Analytics 동향

1 LOB는셀프서비스도구를요구 LOB Demands Self-Service ToolsLOB는셀프서비스도구를요구 LOB Demands Self-Service Tools

2 모바일분석도구 Mobile Analytic Tools모바일분석도구 Mobile Analytic Tools

3 고객에대한통찰력 Customer Insights고객에대한통찰력 Customer Insights

4 예측분석 Predictive Analytics예측분석 Predictive Analytics

5 소셜미디어분석 Social Media Analytics소셜미디어분석 Social Media Analytics

6 데이터시각화 Data Visualization데이터시각화 Data Visualization

7 위치인텔리전스 Location Intelligence위치인텔리전스 Location Intelligence

8 분산 “엣지(Edge)” 분석 Distributed “Edge” Analytics분산 “엣지(Edge)” 분석 Distributed “Edge” Analytics

9 R이성장 R Goes MainstreamR이성장 R Goes Mainstream

10 Hadoop 생태계발전 Hadoop ecosystem maturesHadoop 생태계발전 Hadoop ecosystem matures

Source : Horizon Watch 2014 / IBM Software Strategy and Directions

11 분석스킬 Analytic Skills분석스킬 Analytic Skills

“비즈니스 분석 기술 및 서비스 시장은

2017년까지 10.8% 의 연평균 성장률을

기록할 것으로 예상된다.” – IDC

© 2014 IBM Corporation7

고객이말하는 Big Data의필요성 : 1) 달라지기위해서 2) 대응하기

위해서

Create IT AgilityCreate IT AgilityCreate IT AgilityCreate IT AgilityManage RiskManage RiskManage RiskManage RiskOutperformOutperformOutperformOutperform

Only 1 in 5 organizations allocate more than 50% of IT budget to new projects

Of leaders cite growth as the key source of value

from analytics

Source:

1 - IBM IBV Study: Analytics: A blueprint for value, October 2013

2 - IBM Global Study on the Economic Impact of IT Risk, 2013

3 - IBM Global Data Center Study, 2012

Of respondents were impacted by a cyber security breach over the past 24 months

46%46%46%46%75%75%75%75% 1111inininin5 5 5 5

© 2014 IBM Corporation8

Big Data 분석을시스템화하고점진적으로확산

정보보호, 보안, 위험통제를적극적으로고려

변화

Imagine It.

구현

Realize It.

통제

Trust It.

분석을자연스럽게업무에결합하는문화, 업무혁신

성공적인 Big Data & Analytics 구축을위한 3가지전략

© 2014 IBM Corporation9

*More than 20 percent increase in analytics-based jobs between now and 2018.

20%U.S. Department of

Labor Forecasts*

역량 기회 Mastery

Imagine It. 데이터와분석에익숙한구성원이조직의변화를만들어냄

No

vic

e

Bu

ild

er

Lead

er

Maste

r

© 2014 IBM Corporation10

Imagine It. Infuse analytics into key business processes.

신규고객을유치하고, 기존고객을유지

새로운비즈니스모델을창출

파이낸스프로세스의혁신

리스크관리

운영최적화및사기/위험최소화

IT 비용의절감

Big Data&

Analytics

© 2014 IBM Corporation11

어떻게 하면

모든 사람이

올바른

의사결정을

더 자주 할 수

있는가?

BeMore Right, More Often

신규/향상된어플리케이션

어떤 일이발생할 수있을까? ? Predictive analytics

and modeling

무슨 조치를취해야만하는가? Decision

management

어떤 일이일어나고있는가?

Discovery andexploration

왜 그러한 일이발생했는가?

Reporting, analysis,

content analytics

CognitiveFabric

Realize It. 확장되고변화할 Big Data & Analytics에대비

© 2014 IBM Corporation12

Realize It. 필요한모든데이터를활용할수있는기술적인아키텍처

Harness All Data

& All Paradigms

실시간분석Zone

전사 DW, 마트 및

어플라이언스

zone

데이터 거버넌스 zone

탐색 및적재, 보관

zone

다양한데이터수집,

운영데이터Zone

All Data

© 2014 IBM Corporation13

Realize It. IBM Big Data & Analytics의기반 : IBM Watson Foundation

실시간분석Zone

전사 DW, 마트 및

어플라이언스

zone

데이터 거버넌스 zone

탐색 및적재, 보관

zone

다양한데이터수집,

운영데이터Zone

All Data신규/향상된어플리케이션

어떤 일이발생할 수있을까? ? Predictive analytics

and modeling

무슨 조치를취해야만하는가? Decision

management

어떤 일이일어나고있는가?

Discovery andexploration

왜 그러한 일이발생했는가?

Reporting, analysis,

content analytics

CognitiveFabric

Systems Security

On premise, Cloud, As a service

Storage

IBM Big Data & Analytics Infrastructure

IBM Watson Foundations

© 2014 IBM Corporation14

Trust It. 데이터에대한리스크관리및적극적인통제

Create foundation of trusted data

Understand usage and monitor compliance

Model exposure and

understand variability

Trust the factsTrust the factsTrust the factsTrust the factsEnsure privacy Ensure privacy Ensure privacy Ensure privacy

and securityand securityand securityand security

Make risk Make risk Make risk Make risk

aware decisions aware decisions aware decisions aware decisions

© 2014 IBM Corporation15

IBM Watson Foundation : Big Data & Analytics에대한전체적이고

통합된접근

WATSON FOUNDATIONS

Sales Marketing Finance Operations HRRisk ITFraud

IBM Watson™ and Industry Solutions

SOLUTIONS

CONSULTING AND IMPLEMENTATION SERVICES

BIG DATA & ANALYTICS INFRASTRUCTURE

Decision

Management

Planning &

Forecasting

Discovery &

Exploration

Business Intelligence & Predictive Analytics

Content

Analytics

Information Integration & Governance

Data Mgmt &

Warehouse

Hadoop

System

Stream

Computing

Content

Management

WATSON FOUNDATIONS

Sales Marketing Finance Operations HRRisk ITFraud

IBM Watson™ and Industry Solutions

SOLUTIONS

CONSULTING AND IMPLEMENTATION SERVICES

BIG DATA & ANALYTICS INFRASTRUCTURE

Decision

Management

Planning &

Forecasting

Discovery &

Exploration

Business Intelligence & Predictive AnalyticsBusiness Intelligence & Predictive Analytics

Content

Analytics

Information Integration & Governance

Data Mgmt &

Warehouse

Hadoop

System

Stream

Computing

Content

Management

컨설팅및구현서비스

SOLUTIONS

IBM WatsonTM 및 Industry Solutions

판매 마케팅 재무 리스크 운영 Fraud IT 인사

WATSON FOUNDATIONS

Business Intelligence & Predictive Analytics

Decision

Management

Content

Analytics

Planning &

Forecasting

Discovery &

Exploration

정보통합및거버넌스

Data Mgmt&

Warehouse

Hadoop

System

Stream

Computing

Content

Management

빅데이타 & 분석인프라스트럭처

• 유일무이 – 인지 컴퓨팅으로의 전환 경로 지원

• 혁신적 – 손쉽게 사용 가능

• 완전성 – 기업 적용성(enterprise-ready)

• 신속 – 어느 부문에서나 시작하고 확장 가능

새로운통찰력발견

•예측분석및컨텐트분석을통하여알려지지않은패턴도출

•모든데이터에대해상호작용을통한탐색

(Interactive exploration)

적시운영

•조직전반에걸친데이터흐름에의한실시간분석

•기업적용수준을위한 4배더빠른하둡

•인메모리컴퓨팅을통하여사고기반분석의신속성제공

신뢰성에기반한 확신적 조치

•하둡을포함완전한데이터생명주기전반을거버넌스

•컴플라언스와함께보안및프라이버시지원

•의사결정프로세스에대한투명성및상황적절성제공

Watson Foundation의 가치

Watson Foundation의 제공역량

© 2014 IBM Corporation16

1

2

4

3

3

3 3

3

5

1

2

3

4

5

More than HadoopGreater resiliency and recoverability

Advanced workload management & multi-tenancy

Enhanced, flexible storage management (GPFS)

Enhanced data access (BigSQL, Search)

Analytics accelerators & visualization

Enterprise-ready security framework

Data in MotionEnterprise class stream processing & analytics

Analytics EverywhereRichest set of analytics capabilities

Ability to analyze data in place

Governance EverywhereComplete integration & governance capabilities

Ability to govern all data where ever it is

Complete PortfolioEnd-to-end capabilities to address all needs

Ability to grow and address future needs

Remains open to work with existing investments

3

3

성공적인 Big Data & Analytics 구축을위한파트너 : IBM