스마트한 분석, 제대로 알고 접근하는 비결ibm spss modeler ibm spss modeler ibm...
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© 2014 IBM Corporation
스마트한 분석, 제대로 알고 접근하는 비결
한국IBM 김연진 차장
IBM 빅데이터 분석 성공 사례 세미나
© 2014 IBM Corporation2
Business Intelligence를 넘어서 Business Analytics 환경으로…
© 2014 IBM Corporation3
Business Analytics 발전 방향성
Degree of Complexity
Com
petitive A
dvanta
ge
Standard Reporting
Ad hoc reporting
Query/drill down
Alerts
Simulation
Forecasting
Predictive
modeling
Optimizati
on
What exactly is the problem?
What will happen next if ?
What if these trends continue?
What could happen.. ?
What actions are needed?
How many, how often, where?
What happened?
Stochastic
Optimization
Descriptive
Prescriptive
Predictive
How can we achieve the best outcome?
How can we achieve the best outcome
including the effects of variability?
CognitiveCognitive Computing Jarvis, Answer me.
© 2014 IBM Corporation4
빅데이터 분석 시대에 요구 되는 주요 역량
타입으로 접근하던 기존차트 환경에서 빅데이터에적합한 확장가능한 시각화엔진을 기반으로 보다직관적인 빅데이터 간의상관관계 분석 환경 제공
시각화
사외에 존재하는 정보중에 대표적인 소셜미디어에 대한 분석영역확장을 통하여, 브랜드평판 관리, 가망고객발굴, 잠재적 리스크모니터링 수행
소셜 미디어 분석예측 분석
기존 과거 데이터로 부터조회되던 정보 뿐만 아니라사용자가 복잡한 데이터간의 상관관계를 손쉽게이해하고, 미래를 예측하는분석 역량
© 2014 IBM Corporation5
1 : 시각화
© 2014 IBM Corporation6
새로운 시각화 엔진A picture paints a thousand insights
The Business Problem:
− New requirements for visualizations are constantly emerging
− Each requirement is unique and is difficult to meet
The Solution:
− Provide a wider variety of visualizations with the
means to extend and customize
© 2014 IBM Corporation7
�Flexible – NOT a library of charts
�Multiplatform
− Mobile native
− Web
− Desktop
− Server
IBM SPSS Modeler IBM SPSS Modeler IBM Cognos Consumer InsightIBM Cognos Consumer Insight
IBM ManyEyesIBM ManyEyes
IBM Signature SolutionsIBM Signature Solutions
IBM Data ExplorerIBM Data ExplorerIBM InfoSphere BigInsightsIBM InfoSphere BigInsights
Highlights
IBM Cognos InsightIBM Cognos Insight
RAVE 차트 엔진으로 빠른 통찰력 증대
IBM Rapidly Adaptive Visualization Engine
향상된 시각화
© 2014 IBM Corporation8
What’s Possible
© 2014 IBM Corporation9
데모 1 :
시각화 기반의 빅데이터 상관관계 분석
© 2014 IBM Corporation10
2 : 예측 분석
© 2014 IBM Corporation11
When confidence
is measured, managed
and visualized
It can be understood
and acted upon Win 16%
Bust 21%
Win 53%
Bust 8%
Probability of
a 10 card
51%
© 2014 IBM Corporation13
예측 분석
?
?
이게 만약 분석을 통해서 나온정보라면, 그 다음 해의 결과는어떻게 될까요?
�현재 우리가 주로 사용하는분석은 다음을 사람이 직접추정하게 합니다.
© 2014 IBM Corporation14
예측 분석
으아~ 이렇게복잡하면, 다음은어찌될 것인가?
© 2014 IBM Corporation15
What is Predictive Analytics?How is it different than business intelligence?
Sheep A – BI Dashboard
Reports showing “What happened?”
Reports showing “Why did it happen?”
Conclusion: “You walked off a cliff.”
Conclusion: “You walked too far.”
Sheep B – Predictive Analytics
Reports showing “What will happen?”
Reports showing “What should I do?”
Conclusion: “You are about to walk off a cliff.”
Conclusion: “Option F – Stop Walking is likely to produce the best result.”
Comparison
Business Intelligence Predictive Analytics
What happened? What’s next?
ForesightInsight
Scenario ModelingRoot Cause Analysis
© 2014 IBM Corporation16
데모 2 :
예측 분석
© 2014 IBM Corporation17
시너지 3: 소셜 미디어 분석
© 2014 IBM Corporation18
Mobile and social are reshaping business
34%of smartphone users have scanned a QR
Code, 27% have read online reviews
84%of US adults who have
conducted a
transaction online or
through a mobile
device report
experiencing a
problem
50%increase in
online sales via mobile devices
over 2011
55%of smartphone users compare prices in stores
63% of online adults are
less likely to buy via
other channels if they
experienced a
problem on their
mobile phones
92%of consumers say they trust earned media, such as
word-of-mouth and recommendations
Sources: IBM, Forrester, Tealeaf and Emphathica Reports
© 2014 IBM Corporation19
Every interaction is important
Engagement
Interacting
Awareness
Transacting
Involvement
Usage
Advocacy
© 2014 IBM Corporation20
IBM Social Media Analytics
� 소셜 관련 투자가 미치는 영향도를 평가
� 소셜 미디어 상의 행태를 인식
� 고객 중 충성 고객 파악
� 관계분석을 통한 인사이트 확보• 신규 기회 또는 위험을 알려주는 주제 발견
� 지역, 인구통계학적, 추천관계, 행동학적특성을 기반으로한 세분화 및 타겟 분석
� 소셜 미디어 상에 적극적으로 개입할 수있는 기준 정보 확보
소셜 미디어 상에서 발생하는일들을손쉽게 분석 가능
클라우드(SaaS) 또는자체 구축 (on premise)
선택 가능
© 2014 IBM Corporation21
IBM Social Media Analytics
Demographics
Affinity
Evolving Topics
Influencer Scoring
and Sentiment
Behavioural
AnalyticsGeographics
IBM Social IBM Social Media AnalyticsMedia Analytics
소셜데이터로 부터 실행가능한 인사이트 제공
© 2014 IBM Corporation22
데모 3 :
소셜 미디어 분석
© 2014 IBM Corporation24
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