Building an Enterprise Architecture of Statistics Korea Leechul Bae, Statistics Korea Meeting on the MSIS, Daejeon, Korea, 26 -29 April 2010
Contents 1. Back Ground 2. KOSTAT’s EA effort 3. Sharing Services Project with Government EA 4. Conclusion Slide - 2
Back Ground Various Services & Information systems v 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 v Developing the Statistics Production System • Census System for population & business • Integrated Administrative Data Management System Slide - 3
Back Ground Still. . dissatisfactory v Increased IT organization and expanded IT cost, but still dissatisfaction • Because No governance system to control IT v There existed many problems • Each survey has respective survey system • Duplicated application software without reuse • Treat lightly standard of statistical information v To solve these Problem, New approach(EA) needed Slide - 4
KOSTAT’s EA effort Vision & Strategies of the EA v EA Vision • To help building information system more efficiently • To support the Production of high quality statistics v 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 Slide - 5
KOSTAT’s EA effort Four year’s Plan to Build EA(2008~2011) v 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 v Derived Improvement tasks • Improvement tasks for Statistical Business • Improvement tasks for Informatization Slide - 6
KOSTAT’s EA effort Improvement Plans for Statistical Business v Standardize the statistical business process • statistical business was optimized at the respective survey levels • Standardization of the statistical production business was not sufficiently studied. v 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 Slide - 7
KOSTAT’s EA effort GSBPM KOSTAT process Planning Preparation Survey Processing Data release Report and disseminati on Specif Proces Analyz Disse Archiv Evalua y Design Build Collect s e minate e te needs Current organization Population Census Division Vital Statistics Division ○ ○ ` ○ ○ Social Statistics Planning Team ○ Social Statistics Analysis Team Welfare Statistics Division Agriculture and Fisheries Statistics Division Agriculture and Fishery Production Statistics Division ○ ○ Social Statistics Service Team Employment Statistics Division ○ ○ ○ Comparison GSBPM and the KOSTAT Work Process Slide - 8
KOSTAT’s EA effort Improvement Plans for Information v The individual survey systems had much similarity in System their functions Questi Enumerati ED Househol Aggregat KOSIS Microd Edit Populati Sample Enumerato Questionn on on district assignme d register ion/samp uploadin ata mgt. on mgt. r mgt. aire mgt. nt mgt. ling g transfer Survey system Household Wealth Survey System Local Area Labor Force Survey System Time Use Survey System Private Education Expenditures Survey System Agriculture and Fisheries Establishment Survey System Farm Household Economy and Agricultural Production Cost Survey System Fishery Production Survey System Agriculture Survey System Fisheries Survey System Food Grain Consumption Survey System Integrated Household Management System ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ ㅇ v Necessary to construct the generic statistics production system to share and reuse application functions Slide - 9
KOSTAT’s EA effort Generic National Statistics Management System Advanced statistical analysis tool (SAS, SPSS. etc) Population management system < Already built > Integrated national statistics DB, (KOSIS) Integrated national statistics DB Population DB < Needed to be advanced > Meta data management system National statistics meta DB Generic Statistics Management System < Needed to be advanced > GSBPM Statistical standards (Generic Statistical Business Process Model) Standards information Start Process 1 Process n End Website of statistical organizations Statistical policy management system Statistical coordination DB < Needed to be advanced > < Currently is being built > < Needed to be advanced > E-survey system - Survey preparation, survey management, Integrated National statistics DW Statistical GIS field survey and ICT support administrative data DB - Alternatives of field survey: CATI, CASI Integrated administrative Integrated national statistics Statistical geographic - Field survey support: PDA data management system Micro data management system information system Slide - 10
Sharing Services with Government EA EA of Korean government v 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. v Statistics management was diagnosed as diversification and advised to step up to the unification phase Slide - 11
Conclusion v The KOSTAT EA and the generic government EA greatly contributed to making the information planning of national statistics v necessary to introduce the EA plan proper for the situations of each agency. For this, related laws should be amended. v EA, terms should easy and convenient for the personnel of statistical production to understand utilize. And the functions of the management system should be user-friendly Slide - 12
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