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Implementing GSBPM in Thailand's National Statistical Office

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Explore the integration of the Generic Statistical Business Process Model (GSBPM) in the National Statistical Office (NSO) of Thailand, including drafting process models and guidelines for statistical practices.

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Implementing GSBPM in Thailand's National Statistical Office

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  1. Applying the GSBPM in National Statistical Office of Thailand ThanyalakManeewatthana National Statistical Office Thailand MSIS April 2013

  2. Outline • 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

  3. Statistical Business Process at NSO (As-Is)

  4. Applying GSBPM at Thailand NSO • Draft Statistical Business Process Model • Draft Good Statistical Practice Guideline

  5. Level 1 and Level 2 : Draft Statistical Business Process Model Level 1 and Level 2 of Thailand NSO Draft Statistical Business Process Model (similar to GSBPM version 4.0 – April 2009)

  6. Level 2 and Level 3 : Draft Statistical Business Process Model Sub-Process 3.6 Finalize Production Systems

  7. Draft Good Statistical Practice Guideline (GSP) Cabinet Statistical Act 2007 Summary Annual Report NSS Development Board Statistical Master Plan Sectoral Statistical Development Plan/ Provincial Statistics Development Plan Sectoral Statistics Sub-Committees/ Provincial Committee Annual Report Technical Advisory Board Workshop / Working Group Set of Official Statistics OS (with responsible agencies) QA / Standard/ GSP (GSBPM)

  8. Current work and experiences • 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.

  9. Future Work •  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.

  10. References • Lalor, Thérèse.National implementations of the GSBPM - a summary based on METIS case studies. [http://www1.unece.org/stat/platform/download/attachments/55476343/National+Implementations.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=1315991386797] • Secretariat, UNECE. 2009.Generic Statistical Business Process Model Version 4.0 - April 2009. [http://www1.unece.org/stat/platform/download/attachments/8683538/GSBPM+Final.pdf?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

  11. Thank you 

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