building an enterprise architecture of statistics korea leechul bae, statistics korea
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Building an Enterprise Architecture of Statistics Korea
Leechul Bae, Statistics Korea
Meeting on the MSIS, Daejeon, Korea, 26-29 April 2010
2Slide -
1. Back Ground
2. KOSTAT’s EA effort
3. Sharing Services Project with Government EA
4. Conclusion
Contents
3Slide -
Back Ground
Various Services & Information systems In 2009 Kostat be near completion of statistic
services by developing KOSIS, SGIS, MDSS etc• KOSIS : the world largest integrated DB of Macro data
at the nation level
• SGIS : a combination of statistics and maps
• MDSS : Microdata service, DW : Dataware House
Developing the Statistics Production System• Census System for population & business
• Integrated Administrative Data Management System
4Slide -
Back Ground
Still.. dissatisfactory Increased IT organization and expanded IT cost,
but still dissatisfaction• Because No governance system to control IT
There existed many problems• Each survey has respective survey system
• Duplicated application software without reuse
• Treat lightly standard of statistical information
To solve these Problem, New approach(EA) needed
5Slide -
KOSTAT’s EA effort
Vision & Strategies of the EA EA Vision
• To help building information system more efficiently
• To support the Production of high quality statistics
EA Strategies • Achievement-based support for business objectives
• Standardization and reuse of application systems
• Standardization of data and systematization of metadata management
• Reinforcement of the security system
6Slide -
KOSTAT’s EA effort
Four year’s Plan to Build EA(2008~2011)
The KOSTAT started building the EA at the CIO and CEO’s view in 2008 • In 2009 Building the EA at the designer’ view for
Population & Social Statistics Bureau
• In 2010 Building the EA at the designer’ view for application & data
• In 2011 Building the EA at the designer’ view for all perspective
Derived Improvement tasks• Improvement tasks for Statistical Business
• Improvement tasks for Informatization
7Slide -
KOSTAT’s EA effort
Improvement Plans for Statistical Business Standardize the statistical business process
• statistical business was optimized at the respective survey levels
• Standardization of the statistical production business was not sufficiently studied.
reinforcement of planning and analysis process• According to the comparison of GSBPM and the KOSTAT
statistical business process, the KOSTAT had a weakness for specify needs and evaluate process
• To solve this problem, the organizational restructuring for planning, analyses and services was suggested
8Slide -
KOSTAT’s EA effort
Social Statistics Planning Team
Social Statistics Analysis Team
Employment Statistics Division
Population Census Division
Vital Statistics Division
Welfare Statistics Division
Agriculture and Fisheries Statistics
DivisionAgriculture and
Fishery Production
Statistics Division
Social Statistics Service Team
GSBPM
KOSTAT process
Specify
needsDesign Build Collect
Process
Analyze
Disseminate
Archive
Evaluate
Planning ○
Preparation ○ ○ ○
Survey ` ○
Processing ○ ○
Data release ○ ○
Report and dissemination
○
Current organization
Comparison GSBPM and the KOSTAT Work Process
9Slide -
KOSTAT’s EA effort
The individual survey systems had much similarity in their functions
Improvement Plans for Information System
Questi
on mgt.
Edit mgt.
Population mgt.
Sample mgt.
Enumeration district
mgt.
Enumerator mgt.
ED assignme
nt
Household register
mgt.
Questionnaire mgt.
Aggregation/
sampling
KOSIS uploadin
g
Microdata
transfer
Survey system
Household Wealth Survey System ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇLocal Area Labor Force Survey System ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇTime Use Survey System ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇPrivate Education Expenditures Survey System ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇAgriculture and Fisheries Establishment Survey System ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇFarm Household Economy and Agricultural Production Cost Survey System
ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ
Fishery Production Survey System ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇAgriculture Survey System ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇFisheries Survey System ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇFood Grain Consumption Survey System ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇIntegrated Household Management System ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ Necessary to construct the generic statistics
production system to share and reuse application functions
10Slide -
KOSTAT’s EA effort
Generic National Statistics Management System
Generic Statistics Management System
Integrated administrative data management system
Integrated administrative data DB
Integrated national statistics Micro data management system
National statistics DW
< Needed to be built >< Currently is being built >
Integrated national statistics DB, (KOSIS)
Integrated national statistics DB
< Already built >
Website of statistical organizationsStartStart Process 1Process 1 Process nProcess n EndEnd
GSBPM (Generic Statistical Business Process Model)
Advanced statistical analysis tool (SAS, SPSS. etc)
Meta data management system
National statistics meta DB
E-survey system- Survey preparation, survey management, field survey and ICT support- Alternatives of field survey: CATI, CASI- Field survey support: PDA
< Currently is being built >
Statistical standards
Standards information
Statistical policy management system
Statistical coordination DB
< Needed to be advanced >
< Needed to be advanced >
Statistical geographic information system
Statistical GIS
< Needed to be advanced >
Population management system
Population DB
< Needed to be advanced >
11Slide -
Sharing Services with Government EA
EA of Korean government Ministry of Public Administration and Security
(MOPAS)charge of the EA of Korean government• MOPAS carry forward Sharing Project To avoiding the
duplication among agencies
• Among 38 domains of categorized Administrative services, 14 domains are presented the new target architecture to be improved.
Statistics management was diagnosed as diversification and advised to step up to the unification phase
12Slide -
Conclusion
The KOSTAT EA and the generic government EA greatly contributed to making the information planning of national statistics
necessary to introduce the EA plan proper for the situations of each agency. For this, related laws should be amended.
EA, terms should easy and convenient for the personnel of statistical production to understand and utilize. And the functions of the management system should be user-friendly
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