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검색 신르네상스 Big Data - ITFIND · [삼성경제연구소, 정보홍수 속에서...

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검색, 신르네상스 Big Data 진흙속에서 숨은 진주 찾기 ! 2012 / 10/ 10 와이즈넛 혁신기획실 상무
Transcript
  • , Big Data !

    2012 / 10/ 10

  • Agenda

    Large scaled data ? Big Data ! 01.

    02.

    CASE STUDY 03.

  • Large scaled data ? Big Data ! 01.

  • " , , , , , " [source: Lucas Mearian | Computerworld]

    " , . 300 . (Big Data) .. " [Mckinsey Global Institute(MGI), 2010]

    " (big data) " [, ()- , 2010]

    4

    , , (, ) .

    , , , , , CRM .

    Large Scaled Data ,

  • , .

    1.2 Large Scaled Data

    1

    CRM

    2 3

    CRM

    Information Analysis Dogma

  • (Large scaled data) , , , .

    1.3 Big Data

    statistics

    Pattern

    Trend

    , , SNS

    ( TB ~ PB)

    BigData

    /

    Variety

    Volume

    Velocity

    , / /

  • 1.4 What is Big Data?

    WEB SNS Data

    Machine to Machine (Sensing Data)

    , CRM

    , ,

    , , , ,

  • 1.5 Big Data Insight

    (/ / / )

    * , * * * *

    / Retail * , - * , * ,

    / * *

    * , ,

  • 3 Social Media , .

    1.6 Big Data SNS

    Customer Relationship

    Operational Excellence

    Innovation!

    Social Media

    /

    Social Media

    ,

    ) Deloitte Consulting, Web Strategy(2009)

  • 02.

  • 2.1

    G/W KM/ECM

    CRM

    Community

    WEB SNS Data Internal Unstructured data

    Internal Structured data

    SNS

  • 2.2

    (85%)

    12

    SAS SPSS

    R

    (15%)

    Data Mining Text Mining

  • 2.3 Big Data Framework

    DB Open API .

    NO SQL DB RDBMS index

    Internal Data Internal Structured data

    Internal Unstructured data

    G/W KM/ECM

    CRM

    Community

    Web SNS Data

    &

  • 2.4 Big Data Service Architecture

    Marketing Intelligence

    Business Intelligence

    SNS CRM M2M

    SNS

    Data

    CRM

  • 2.5

    ID

    (30)

    (150)

    Map

    Map

    (350)

    (200)

    (120)

    (140)

    , , TEA

    TEA

    SF-1

    Search Framework

    Semantic

    Ontology

    0

    200

    400

    600

    800

    1000

    ID

    50%

    13%

    10%

    2%

    11%

    12%

    1% 1%

    46%

    27%

    18%

    9%

  • 7 Search Visualization Prototype

    TEAM Search

    2.5

  • TEAM Search

    2.5

  • 2.5

    TEAM Search

  • E-Commerce Big Data 03.

  • 3.1 /

    ,

  • 3.2

    A

    Item 1 Item 2

    Purchase Shopping

    Cart

    Web Log

    CRM

    Item 3

    Item 4

    Item 5

    , ,

    , , , ,

  • CRM

    3.3.

    A

    B

    Item 1 Item 2

    Purchase Shopping

    Cart

    Item 1 Item 2

    Purchase Shopping

    Cart

    Web Log

    Web Log

    CRM

    Item 3

    Item 4

    Item 5

  • SNS 04.

  • 4.1 Opinion Mining ( / )

    Sentiment 3.2 ,

    Anycall Show

    A/S

    Document A

    ,

    , Positive

    , Positive

    , Negative

    , sentiment

  • , ,

    4.2

    25

    /

    , , ,

    (, , , )

  • ,

    (SMS)

    4.3 Risk Alert

    26

  • * ;

    200 ( ) , () , ,

    4.4

    27

  • (ex. H , S )

    4.5

    28

  • () ,

    4.6

    29

  • Case Study ( / ) 05.

  • 5.1 LA, ` `

    , . . . 600( 0.2) , 25%

  • 5.2

    6 , . . . 3 (ROI) 100% 1 400%

  • (1922~2004)

  • .

    E-Mail: [email protected]


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