Statistical Business Processes and Models at NSO Thailand
The National Statistical Office of Thailand has been developing various statistical business processes and models, including the Generic Statistical Business Process Model and Draft Good Statistical Practice Guidelines. The agency is striving to align its operations with international standards like GSBPM, facing challenges in translating technical terms and familiarizing stakeholders with new models. Explore the evolution and complexities of statistical processes at NSO Thailand.
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Presentation Transcript
Thanyalak Maneewatthana National Statistical Office Thailand MSIS April 2013
Statistical Business Process at NSO (As-Is) Applying GSBPM at Thailand NSO Draft Statistical Business Process Model Draft Good Statistical Practice Guideline Current work and experiences Future Work References
Generic Statistical Business Process Model NSO Thailand Statistical Business Process Model (As-Is) 1 Specify Needs Plan 2 Design 3 Build Collect data 4 Collect Process and estimate 5 Process 6 Analyse Analyse and report 7 Disseminate 8 Archive 9 Evaluate Quality Management Quality Management Metadata Management Metadata Management
Draft Statistical Business Process Model Draft Good Statistical Practice Guideline
Level 1 and Level 2 of Thailand NSO Draft Statistical Business Process Model (similar to GSBPM version 4.0 April 2009)
Statistical Act 2007 Cabinet Summary Annual Report NSS Development Board Statistical Master Plan Sectoral Statistical Development Plan/ Provincial Statistics Development Plan Sectoral Statistics Sub- Committees/ Provincial Committee Technical Advisory Board Annual Report Set of Official Statistics OS (with responsible agencies) QA / Workshop / Working Group Standard/ GSP (GSBPM)
The draft model; process maps and work flows, and draft GSP are under development as there are more processes and detail in each process in GSBPM than in existing statistical business process model. Some terms of GSBPM are difficult to understand and translate to native language (Thai). Most people are still familiar with existing statistical business process model because it has fewer processes and less complicated than GSBPM.
NSO will create an enterprise architecture by finalizing the draft statistical business process model integrated with a statistical metadata system. Moreover, the GSIM (UNECE, 2012) will be considered to implement.
Lalor, Thrse. National implementations of the GSBPM - a summary based on METIS case studies. [http://www1.unece.org/stat/platform/download/attachments/55476343/National+Impl ementations.doc?version=1&modificationDate=1320830772287] Morgado, Isabel. Paper for discussion: Metadata Flows within GSBPM. [http://www1.unece.org/stat/platform/download/attachments/57835554/Session%28v %29_Metadata+flows+within+GSBPM.xlsx?version=1&modificationDate=13159913867 97] Secretariat, UNECE. 2009. Generic Statistical Business Process Model Version 4.0 - April 2009. [http://www1.unece.org/stat/platform/download/attachments/8683538/GSBPM+Final.p df?version=1] s.l. : Joint UNECE/Eurostat/OECD Work Session on Statistical Metadata (METIS), 2009. UNECE. 2012. Generic Statistical Information Model (GSIM): Version 1.0, December 2012. [http://www1.unece.org/stat/platform/pages/viewpage.action?pageId=59703371] 2012. Country Report of Thailand : Implementation of Thailand s Statistical Master Plan : http://www.stat.go.jp/english/info/meetings/eastasia/pdf/13pa3tha.pdf
