1. Pilot Project for Big Data Use
Mining and Manufacturing Production Index
Pilot Project for Big Data Use
April 2013
Ki-bong Park

2. Contents Establishment of a Big Data Roadmap of the Korean Government
Beginning of Big Data Use
KOSTAT Countermeasures against Big Data Use
KOSTAT Pilot Project for Big Data Use in Official Statistics
Future Plans

3. 1. Establishment of a Big Data Roadmap of the Korean Government
International trend of establishing big data-related strategies at the national level
U.S.A.: ‘Big Data Research & Development Initiatives’ , investment in big data research & development (March 2012)
England: ‘Open Data Strategy’, Strengthen data access (March 2012)
Japan: Published ‘Strategy for Big Data Use’, Selected as a major goal for ‘Active Japan’(May 2012)
Establishment of a ‘Big Data Master Plan’ of the Korean Government
Cope with big data issues - March 15, 2012: Big data national strategy forum (Participation by industries, universities, research institutes and governmental agencies) - Sep. 16, 2012: Big data forum (Participation by the public and private sectors)
Establish a ‘Big Data Master Plan’ (National Science & Technology Commission, Nov. 28, 2012) - Step-by-step big data use by considering benefits and utilities - Establishment of infrastructure for big data sharing, provision of technical support and expert training
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4. 2. Beginning of Big Data Use
Big data use when analyzing welfare and complaints from the general public
Beginning of big data use in terms of policy support and customized services - (Policy support) Link and share data that is located in several ministries, and support policy-making via data analysis - (Customized services) Provide user-focused services via an integrated analysis (e.g. qualification and history)
Public sector
Holding World-class ‘IT infrastructure’ and ‘data production and dissemination’ - World-best infrastructure including high-speed Internet, 3G smart phones and LTE phones - Sharp increase in mobile data due to the popularity of smart phones and SNS
Poor data use by businesses when considering the production and dissemination of a huge amount of data - Just a few enterprises properly understand and use big data. - Mobile and portal service providers started to use big data based on their own data.
Private sector
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5. 2. Beginning of Big Data Use - Case 1 Strengthen policies
Complaints analysis system
of the Anti-Corruption Civil Rights Commission
Collect, classify, analyze and forecast online complaints of the public to facilitate communication between the government and the public
Produce a complaints calendar by month and region after analyzing past complaints and produce a complaints map showing social issues 형태로 제공
Strengthen policies
Seoul and Gyeonggi
Unemployment benefits, use of public transportation
Daejeon and Chungcheong
Apartment sales
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6. 2. Beginning of Big Data Use - Case 2
Give assistance when making policies for adolescents
by analyzing social data
Policies for adolescents are too passive to prevent their extreme behaviors.
Help to make policies to prevent suicides of adolescents by analyzing buzz patterns related to suicides in social data and reflecting their situations and psychology
Indentify a danger sign via a suicide context analysis
Identify harmful contents by analyzing URLs that are spread via SNS
Cooperation with big mouths in a network
e.g.) Suicide context pool
e.g.) Online spread of harmful contents
e.g.) Ripple effect of big mouths in a network
(Source) Pilot Project of the National Information Society Agency (July ~ Sep. 2012)
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7. 3. KOSTAT Countermeasures against Big Data Use
Research on big data use in official statistics and pilot production of statistics
Establish a task force responsible for big data use and train human resources
Pilot project for big data use
“Earlier dissemination of the Mining and Manufacturing Production Index by using media data”
Support rapid and accurate production of the Mining and Manufacturing Production Index
Collection and analysis of Internet data
Media data is automatically collected and used for objective editing (checking changes in establishments and items, finding outliers) before finalizing the Index.
Provision of visualized analysis function
Easier understanding of time-series data (index and volume) by providing visualized analysis function
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8. 4. KOSTAT Pilot Project for Big Data Use in Official Statistics (1/5)
AS-IS and TO-BE of the Mining and Manufacturing Production Index
AS-IS
Workflow
TO-BE (Big data use)
Visualized analysis of survey data
Data collection and input
(3rd ~19th every month)
Volume table-focused edit
Volume information by establishment and item
Index information by industry and item
Finalization of input and the preliminary index
(20th every month)
Inquiry over the phone
Edit and inquiry
(20th ~ 23rd every month)
Analysis of media non-typical data
Finalization of the index and data upload
(23rd every month)
Individual verification of Internet data
Integrated Internet information on items and establishments
Analysis of the index and publication of a report
(24th ~26th every month)
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9. 4. KOSTAT Pilot Project for Big Data Use in Official Statistics (2/5)
Analysis range
(Media data) Notices on the related websites and Internet news articles
Industry
Source
Contents
C21
(Pharmaceutical products)
Korea Pharmaceutical Manufacturers Association
/ Pharmaceutical news
Chong Kun Dan Pharm.
Major production and commodities
Internet newspapers
Related articles
C24
(Basic metal products)
Korea Metal Journal
new.kmj.co.kr / New by product
Korea Iron & Steel Association
/ Iron & steel information / Survey report, Iron & Steel Journal
C26
(Electronic components, computer, radio, television and communication equipment and apparatuses)
Ministry of Knowledge Economy
Website / Press releases, notices, policy
Korea Customs Service
Website / Policy, press releases
Korea Semiconductor Industry Association
Real-time news on semiconductor
Semiconductor Network
News
Korea Display Industry Association
News on display industry
C28
(Electrical equipment)
※ 4 industry groups (C21, C24, C26, C28, 162 items, 1438 establishments) that are surveyed in the Monthly Survey of Mining and Manufacturing
(Survey data) Time-series index and volume data by industry, item and establishment from 2005 to the current month for the Monthly Survey of Mining and Manufacturing
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10. Analysis of non-typical data4.
KOSTAT Pilot Project for Big Data Use in Official Statistics (3/5)
Collection and analysis of media data
Data collection
Scrolling of articles and documents on the Internet from the previous month to the current month - Collect Internet data that contains words such as increase and decrease for survey items and establishments - Scroll Internet news on a real-time basis - Analyze attached documents in the PDF or MS word format on the websites and load data into the analysis server
Analysis of non-typical data
Data analysis
Integrated analysis of attached documents from the websites and Internet news articles - Improve retrieval accuracy by registering search words (e.g. items) in advance - Provide website and Internet news according to the order of accuracy
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11. Visualization of typical data Volume by establishment4.
KOSTAT Pilot Project for Big Data Use in Official Statistics (4/5)
Collection and analysis of survey data
Data collection
Online link to the DB for the Mining and Manufacturing Survey System
Data analysis
Visualization of time-series index and volume data by industry, establishment and item (e.g. in graphs)
Visualization of typical data
- Volume graph by item and establishment (Volume/month-on-month/year-on-year)
- Index graph by industry and item (Volume/month-on-month/year-on-year)
Index by industry
Index by item
Volume by establishment
Volume by item
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12. 4. KOSTAT Pilot Project for Big Data Use in Official Statistics (5/5)
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13. 5.
Future Plans
Big data governance is recommended to ensure better production and dissemination of official statistics by using big data.
Define business processes and responsibilities
Results of pilot projects
Examine applicability and efficiency in statistical production/ accumulate big data use techniques
Establishment of infrastructure for statistical production via big data use, and ongoing research
Expand the system (e.g. expand analysis range)
Expand to all industries in Monthly Survey of Mining and Manufacturing
Expand to the Monthly Service Industry Survey
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