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

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

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

5. Applying Enterprise Architecture
Disseminate

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

7. ... we get this ...

8. .. which makes it hard to share and reuse!

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

10. ... sharing is easier!

11. CSPA development project
Architecture Proof of Concept

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

13. What did we prove?

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

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

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

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

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

19. 2013 – CSPA Development 2014 – CSPA Implementation

20. 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

21. 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

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

23. Thank you !