1. United Nations Economic Commission for Europe Statistical Division The High-Level Group: Modernisation of Statistical Production and Services Steven Vale UNECE steven.vale@unece.org

2. Contents  Background: Vision and Strategy  Standards: From development to implementation  “Plug and Play”: The next big thing  Governance: How to manage the work and resources

3.  Created by the Conference of European Statisticians in 2010  10 heads of national and international statistical organisations  More countries want to be involved Background

4. Increasing cost & difficulty of acquiring data New competitors & changing expectations Rapid changes in the environment Competition for skilled resources Reducing budget Riding the big data wave

5. These challenges are too big for statistical organisations to tackle on their own. We need to work together

6.  Transform vision to reality  New sources and products  Streamlined processes  Managing organizational change to support change and collaboration A strategy for modernization

7.  Transform vision to reality  New products  Rationalised processes “Plug and play” architecture – based on the GSBPM and GSIM  Managing organizational change to support change and collaboration Conference of European Statisticians, June 2012 A strategy for modernization Endorsed

8. Now Future Specify Needs Design Build Collect Process AnalyseDisseminate Archive Evaluate Generally one off solutions Corporate Solutions that fit most needs More admin data, less direct collection Often survey based Unique and labour intensive tools Focus on e- collect Major focus of staff expertise Limited by tools and time Limited by available time Increased client engagement Focus on static publications More focus on value added and data integration More interactive data Data stores held by individuals Limited activity in this area Data stored centrally

9. 1 st Priority: GSBPM and GSIM Complementary models to describe the steps in statistical production, and their inputs and outputs Process Outputs Inputs GSBPM GSIM

10. Implementing the standards  Provide help and guidance  Communication materials for different audiences  Platform for sharing experiences  Case studies?

11. 2 nd Priority: “Plug and Play” GSBPM Generalized Statistical Production System Common Generic Industrial Statistics Common Generic Industrial Statistics Methods Technology GSIM “Plug and play” is the implementation of standards-based statistical production

12. Plug and Play

13. Plug and Play: Next steps  Group of senior managers to define project scope and components Concentrate on architecture and standards? Build something practical? Do both in parallel?  Implementation: “Sprints”? Virtual groups?  HLG to decide in February

14. Governance issues  The work is growing  Expectations are rising  Trust fund?  More formal structure under the HLG More countries want to be involved Re-organisation of UNECE expert groups?

15. More information  GSBPM http://www1.unece.org/stat/platform/display/metis/The +Generic+Statistical+Business+Process+Model http://www1.unece.org/stat/platform/display/metis/The +Generic+Statistical+Business+Process+Model  GSIM http://www1.unece.org/stat/platform/display/metis/Ge neric+Statistical+Information+Model+(GSIM) http://www1.unece.org/stat/platform/display/metis/Ge neric+Statistical+Information+Model+(GSIM)  HLG http://www1.unece.org/stat/platform/display/hlgbas

16. Questions? steven.vale@unece.org steven.vale@unece.org