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Applying the GSBPM in National Statistical Office of Thailand

Applying the GSBPM in National Statistical Office of Thailand. Thanyalak Maneewatthana National Statistical Office Thailand MSIS April 2013. Outline. Statistical Business Process at NSO (As-Is ) Applying GSBPM at Thailand NSO Draft Statistical Business Process Model

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Applying the GSBPM in National Statistical Office of Thailand

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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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