Big Data handling skill,

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Big Data handling skill, Is it a key of
performance ?
????? ???? ??? 2012? 12? 10?
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1. BigData ??
Big Data? 5? ?? ???, ???, ???, ???, ?????
(???, ???, ??, ??)
Data Volumes ???? ? ???? ??? (???? ???? ??? ??? ??? ????? ??? ???? ?? ??) Gathner (2011) McKinsey (2011) Bainco. (2012) Boozco.(2012)
Data Structure ??? ???? ??? ?? (?? ??? ???, ?? ??, ????? ???, ??? ??, ?? ?? ?) Gathner (2011) McKinsey (2011) Bainco. (2012) Boozco.(2012)
Velocity ? ????? ???? ??? ? ???? ??? ???? ?? ?? ??? ??, ??? ?? ?? ???? McKinsey (2011) Bainco. (2012) Boozco.(2012)
Processing Complexity ?? ???? ?? (??? ??? ??, ??? ?? ?? ?) Gathner (2011) Bainco. (2012)
Analysis flexibility ? ??? ??? ??/????/?? ?? ?? ?? ??? ????? ???? ??? ?? ?? (??? ?? ??? ???? ??) Gathner (2011)
Bain Company (2012), Navigating the Big Data
challenge
Boozco. (2012), Benefitting from Big Data
Leveraging Unstructured Data Capabilities for
Competitive Advantage
Gathner (2011), CEO Advisory Bit Data Equals
Big Opportunity
Gathner (2011), Big Data Analytics
James Manyika, Michael Chui, Brad Brown, Jacques
Bughin, Richard Dobbs, Charles Roxburgh, Angela
Hung Byers (2011), Big data The next frontier
for innovation, competition, and productivity,
McKinsey Global Institute, McKinsey Co.
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1. BigData ??
Big Data? ?? (IDC, 2011)
IDC's Digital Universe Study, sponsored by EMC,
June 2011
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2. BigData ???? ??? ?? ??
Big Data? ?? ???, ????, ????, ????, ????BM ??
(McKinsey, 2011)
Creating transparency ????? ?? ????? ??? ??? ??? ??? ? ??. RD? ?? ????? ??? ???? ???? ??? ????? ????.
Improve performance ?? ?? ?? ???? ?? ??? ?????? ?? ???? ??????, ?? ???? ??? ???? ??? ? ?? ?? ?? ???? ?? ??? ?? ???? ?? ? ??
Segmenting populations ????? ?? ?? ???? ??? ??/?? ????? ??? ? ??
Decision making ???? ??? ?? ???? ???? ??? ?? ??? ??? ?? ???? ??? ??? ?? ????? ??? ? ??.
New BM, product and services ???? ??? ?? ??? ?? ? ???? ????? ?? ?? ???? ??? ??? ? ??
James Manyika, Michael Chui, Brad Brown, Jacques
Bughin, Richard Dobbs, Charles Roxburgh, Angela
Hung Byers (2011), Big data The next frontier
for innovation, competition, and productivity,
McKinsey Global Institute, McKinsey Co.
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3. BigData ???? Level
BigData? ?? ????? ?? ?? ??
McKinsey (2011) NIA (2012) BoozCo. (2012)
Tech. Technique ????, ???, ??S/W ?? ??? ???? ?? ?? ??? ??/?? ??, ??? ?? ?? (?????, ??????), ??? Solution Maturity ?? ??? ?? ???? Tech. Velocity, Volume, Variety of Data ? ??? ??
Access to data ??? ?????? ???? ???? ??? ? ??? ? ?? ??? ?? ??, ??? ?? ?? -
Organizational change and talent ???? ??? ?? ??? ??? ??? ??? ??? ??? ??, ????? ?? ??? ???? ? ?? ??? ???? ?? ? ?? ??? ?? ??? ???/?? ??? ?? ???? ??? ?? ?? ??? ????? ? ??? ? ?? ???? ?.
Data Policy ????? ??, ?? ??? ???? ??, Linked-Data ??? ??? ??? ??? ??? ???? ?? - Privacy ?? ?? ??? ??? ???, ??? ?? Trust ?? ?? ??
Competitive structure ????? ?? ?? ??? ?? ??? ???? ?? (?? ??? ?? ????? ??? ?? ??? ?????, ???? ?? ?? ?? ? ???? ??) -
James Manyika, Michael Chui, Brad Brown, Jacques
Bughin, Richard Dobbs, Charles Roxburgh, Angela
Hung Byers (2011), Big data The next frontier
for innovation, competition, and productivity,
McKinsey Global Institute, McKinsey Co.
NIA (2012), ???? ???? ??? ?? 3? ?? ??, ??, ??
Boozco. (2012), Benefitting from Big Data
Leveraging Unstructured Data Capabilities for
Competitive Advantage
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3. BigData ???? Level
1) Tech. Technique Level
? 4. BigData ????? ?? Level ????
2) Access to data Level

1. ??? ?? ??/??? ?? ??? ???? ?? ?? ??
2. ???? ?? ?? ??? ??? ???? ?? ??

3) Organizational change and talent Level

1. ??? ??? ?? ?? ?? ?? ??? ??
2. ???? ??/?? ??? ???? ?? ?? ?? ? ?? ?? ?? ??
3. ?? ??? ????? ?? ??? ??? ??? ??

4) Data Policy Level

1. ???? ?? ????? ??, ?? ??? ???? ?? ?? ??, ?? ??
2. ?? ?? ? ? ??? Linked-Data ? ?? ???, ?? ?? ?? ??

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4. BigData ????? ?? Level
BigData ???? ?, Tech. Technique ??
Pete Varden (2011), ??? (2012) ???, ??? (2012)
Data source ?? ??? (DB, File ?????) ?? ??? (SNS, ???? ??) -
Collecting Crawling (?? ??? ??? ??? ??? ??) ETL (?? ???? ??, ??, ??, ??) ????? ??, Life Logger ??? ??? ??
Preprocess Crawling (?? ??? ??? ??? ??? ??) ETL (?? ???? ??, ??, ??, ??) ??? ??, ??? ??, ETL
Storage DB, ????, ???? ??? ???? ???, MapReduce, ?-??? DB, ?-DB ??
Handling ???? ??, ?? ??? ???? ???, MapReduce, ?-??? DB, ?-DB ??
Analysis ?????, ?? ??, ??? ?? ?? ?????, Text???, ???? ?
Expression ??( ??, ????? ???) ??? ?? ??? ??, ??????, ?? ??? ??
Pete Warden (2011), Big Data Glossary, OReilly
Media
??? (2011), Big Data ????? ??? ????
???, ??? (2012), ???? ??? ?? ??
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4. BigData ????? ?? Level
1) Collecting ? Preprocess ??
??? ??? ??? ?? ??? ???? ???? ??
ex) ?? Big Data ?? ?? ?? (NIA, 2012)
??? ???? ?/?? ?? ??? ???? ???? ???? ?,Linked
Data? ???? ? ?? ?? (?? ???? ??? ??? ?? ?? ???)
Log ?? Crawling Sencing Open API
?? ??? ???? ??? ?? ??(???, ???? ??, ?? ??, DB ??) ?? ??? ???? ?? ??? ?? ??? ??? ?? ??? ??? ????, ?? ??/???? ??? ?? ???? ?? ??? ??, ??? ???? ?2,0 ??? ???? ? ?? ??? ??
NIA (2012), ???? ??? ??? ?? ??? ?? ?? ??
2) Storage ? Handling ??

1. ???? ??/?? ?? ??? ?? ???? ???? ??
2. ???? ?? ?? ??/???? ??? ???? ?? ??
3. ?????? ?? ? ??? ??? ?? ??(??)? ??
4. ??? ??? ?? ?? ?? ??

ex) ??? ???? / ????? ???? ?? ?? ??
??? ???? ?? ????? ???? ?? ?? ??? ?? (ex Hadoop ?)
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4. BigData ????? ?? Level
ex) ??? ???? ??/?? ???? ??
??? ???? ???? ???? ??? ???? ???? ?(ex Scribe,
Flume, Chuckwa ?? ???? ???)
ex) Linked Data 5-Level (Berners-Lee, 2009)
??? ???? ?/?? ?? ??? ???? ???? ???? ?,Linked
Data? ???? ? ?? ?? (?? ???? ??? ??? ?? ?? ???)
1?? 2?? 3?? 4?? 5??
??? ???? ??/?? ?? ?? ??? ?? ??? (ex ???? ?? ????) ?? ?? ??(ex CSV ??) ??? ?? (ex W3C? RDF, SPARQL) ???/??? ???? ???? ???? ???? (Linked RDF)
Berners-Lee, T.(2009) Linked Data,
http//www.w3.org/DesignIssues/LinkedData.html.
? SPARQL? RDF ???? ???? ??? ??? ??? ? ???? ?????
???? ?? ?? 2008? W3C? ???(Recommendation-http//ww
w.w3.org/TR/rdf-sparql-query/)?? ??? SPARQL 1.0?
RDF, RDFS, OWL ? ?? ???? ???? ??? ???? ???? ????
?? ??
4) Analysis ??

1. ??? ?? ?? ? ?? ??? ?? ???? ???? ??
2. ??? ?? ??? ??? ??x??(MM)? ???? ?? ??
3. Hadoop ?? ??? ???? ?? S/W ?? ??? ??

5) Expression ??

1. ???? Visualization ? ?? ?? ??
2. ???, ????? ?? ?? ??? Visualization ??? ?? ??
   ??
3. ???? ??? ??? ?????? ?? ?? ??

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5. RD performance
BSC(Balanced Scorecard)-based RD ?? ??
(kerssens-van Drongelen, 1997)
RD ??? ?? ??? ?? ??? ?????, ???? ?? ???? ?
?????? ?? ?? ??? ???
Perspective Category Measure
Internal business Productivity hours spent on projects/total hour RD
Internal business Speed to market technology/design reuse Current time to market(development time)/reference time to market (development time)
Internal business Reliable delivery of outputs sum of revised project durations/sum of planned durations
Internal business Quality of output no. of times rework required
Innovation and learning Technology leadership no. of patentable discoveries per spent on RD
Innovation and learning Long-term focus of budget spent internally and externally on basic and applied research
Innovation and learning High absorptive capacity of project in cooperation with third party
Innovation and learning Learning organization of project evaluation ideas applied in new projects
Financial Survive PV of RD accomplishments / RD expenditure
Financial Succeed of sales from new products
Financial Prosper Market share gained due to RD
Customer High customer satisfaction Score on customer satisfaction audit of customer driven projects
Customer Anticipation of internal and external customers needs of customer driven projects
Customer High level of design for manufacture Engineering hours on projects / engineering hours on project and troubleshooting
Customer RD hit rate of projects terminated before implementation
Kerssens-van Drongelen, I.C., and Cooke, A.
(1997), Design principles for the development of
measurement systems for research and development
processes. RD Management, 27, 4, 345357.
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6. ?? ?? ??
BigData ???? Level
BigData ??????? Level
BigData Management Level
RDPerformance
P7,8,9
Collecting Preprocess
P5,6
Storage Handling
Tech. Technique
P4
P10
Big data Management Level
RD Performance


Analysis
Access to data
Expression
Organizational change and talent
Data Policy
(moderator)
??/?????BigData ???
BigData? ??
p2
Data Volumes
How close it is to big data condition
Data Structure
Velocity ?
Competitiveenvironment
Processing Complexity
p5
Analysis flexibility
Competitive structure
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7. ?? ??
1) ?? ?? ??, ?? ??? ?? ?? ???

• ???? BigData ????? ?? Level, BigData ???? Level
  
• ???? RD Performance - ????
  Environment (????)

2) ?? ??? ?? ? ??? ???

• ??? ??? ??, ?? ?? ?? ? ??
• ?? ??? ?? ??

3) ?? ??? ??

• ??? ??? ?? ?? ?? ??
• ??? ?????, ?/? vs ????? ?? ??? ??

4) ?? ??

• ?? ??? ??? ??? ??, ??? ?? ?? ?? ??

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Thank you