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The Common Statistical Production Architecture: An Important New Tool for Process Standardisation

The Common Statistical Production Architecture (CSPA) is a new initiative that aims to standardize and modernize statistical production across various organizations. Managed by the High-level Group for the Modernization of Statistical Production and Services (HLG), formed in 2010, CSPA facilitates collaboration, enhances sharing, and promotes interoperability among statistical agencies worldwide. With participation from multiple countries, the CSPA project demonstrates how working together can streamline processes, improve outcomes, and make sharing resources easier. Join the initiative to contribute to global statistical standards and practices.

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The Common Statistical Production Architecture: An Important New Tool for Process Standardisation

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  1. The Common Statistical Production Architecture:An Important New Toolfor Process Standardisation Steven Vale UNECE steven.vale@unece.org

  2. Introducing the HLG • High-level Group for the Modernisation of Statistical Production and Services • Created by the Conference of European Statisticians in 2010 • Vision and strategy endorsed by CES in 2011/2012

  3. Who are the HLG members? • Pádraig Dalton (Ireland) - Chairman • Trevor Sutton (Australia) • Wayne Smith (Canada) • Emanuele Baldacci (Italy) • Bert Kroese (Netherlands) • Park, Hyungsoo (Republic of Korea) • Genovefa Ružić (Slovenia) • Walter Radermacher (Eurostat) • Martine Durand (OECD) • Lidia Bratanova (UNECE) 

  4. What does the HLG do? • Oversees activities that support modernisation of statistical organisations • Stimulates development of global standards and international collaboration activities • “Within the official statistics community ... take a leadership and coordination role”

  5. HLG Activities – Engagement Map

  6. Problem statement: Specialised business processes, methods and IT systems for each survey / output

  7. Applying Enterprise Architecture Disseminate

  8. ... but if each statistical organisation works by themselves ...

  9. ... we get this ...

  10. .. which makes it hard toshare and reuse!

  11. … but if statistical organisations work together to define a common statistical production architecture ...

  12. ... sharing is easier!

  13. CSPA development project Architecture Proof of Concept

  14. The “sprint” method

  15. Editrules G Code The Proof of Concept • 5 countries played the role of Builders • 3 countries played the role of Assemblers CANCEIS SCS Blaise

  16. Project Outcomes The CSPA approach works It promises increased: • sharing • interoperability • collaboration opportunities Some licensing issues!

  17. 2 Sprints 3 Assemble teams 5 Build teams 1 Working Group United Kingdom FAO 42 individuals

  18. Implementation of the CSPA

  19. Services being built • Seasonal Adjustment – France,Australia, New Zealand • Confidentiality on the fly – Canada, Australia • Error correction – Italy • SVG Generator – OECD • SDMX transform – OECD • Selecting sample from business register – Netherlands • Editing components – Netherlands • Classification Editor – Norway

  20. Architecture Working Group:Australia, Austria, Canada, France, Italy, Mexico, Netherlands, New Zealand, Turkey, United Kingdom, Eurostat • Catalogue team:Australia, Canada, Italy, Hungary, New Zealand, Romania, Turkey, Eurostat

  21. How to work together for minimumcost and maximum benefit?

  22. Get involved! Anyone is welcome to contribute! More Information • HLG Wiki: www1.unece.org/stat/platform/display/hlgbas • LinkedIn group: “Business architecture in statistics”

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