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Common Statistical Production Architecture: Enhancing Collaboration in Official Statistics

Learn about the development and benefits of a Common Statistical Production Architecture (CSPA) that promotes collaboration among statistical organizations, overcoming barriers such as rigid processes and aging technology. Discover how CSPA facilitates sharing, reuse, and interoperability of statistical services. Get involved in this initiative to modernize official statistics worldwide.

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Common Statistical Production Architecture: Enhancing Collaboration in Official Statistics

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  1. Introduction to the Common Statistical Production ArchitectureAlice Kovarikova High-Level Workshop on Modernization of Official Statistics, Nizhny Novgorod, 10- 12 June 2014

  2. The problem • 2 big barriers that hamper modernisation of statistical organisations are: • Rigid processes and methods • Inflexible and ageing technology environment

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

  4. Applying Enterprise Architecture Disseminate

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

  6. ... we get this ...

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

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

  9. ... sharing is easier!

  10. CSPA development project Architecture Proof of Concept

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

  12. What did we prove?

  13. CSPA is practical and can be implemented by various agencies in a consistent way

  14. You can fit CSPA Statistical Services into existing processes Statistics New Zealand (Workflow) Istat (CORE)

  15. CSPA does not depend on a specific technology platform Statistics New Zealand (Workflow) Istat (CORE)

  16. You can swap out CSPA compliant services easily Statistics New Zealand (Workflow)

  17. Reusing the same statistical service by configuration Survey A Survey B Statistics Sweden (Workflow -Triton)

  18. 2013 – CSPA Development 2014 – CSPA Implementation

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

  22. Thankyou !

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