High Level Group for Strategic Developments in Business Architecture in Statistics

1. High Level Groupfor Strategic Developments inBusiness Architecture in Statistics Strategy Gosse van der Veen, Statistics Netherlands

2. Then, June 2011 Vision endorsed by CES

3. High Level Group Vision: We have to re-invent our products and processes and adapt to a changed world

4. Vision in brief 27 fold growth in the next 9 years • Innovate the products and services • Address the global dimension • Use the potential of the data deluge • Take position in the information value chain • Adapt our products to a changing society

5. Vision in brief • Industrialize the processes • Free up resources, reduce diversity • Standardize, save money • Minimize labor, ease the burden • Collaborate, combine forces

6. Since Then:

7. Since Then: • Workshops with expert group leaders • Nov 2011; we need GSIM • Nov 2012; list of priorities • New Members proposed to HLG-BAS • Mexico, Republic of Korea • High Level Seminar St Petersburg • GSIM Sprints (Slovenia, Korea) • Version 0.4 created

8. Provision for formalisation of arrangements for data acquisition and dissemination Provision Agreement Process Step Definition Methodology applies to processes in all areas Provider Methodology Balanced support for all data acquisition channels Information Request Process Method Dissemination Program Acquisition Program Process management for all areas of activity Statistical Project Activity Production Process Step Design Separation of Statistical, Acquisition, and Dissemination programs, with central role for Methodology Balanced support for multiple dissemination channels G S I M V0.4 Statistical Program Process Control Process Step Execution Statistical projects access shared data Mapping of processes to support managed operations Rule Data Resource Shared Data Resource, maintained corporately, for use by all statistical programs Statistical Products Data Set Conceptual Information Variable Population Units Concept Data Structure Cube Structure Unit DataStructure Basic infrastructure for critical base elements Value Domain Classification Record Structures All structures and relationships described in metadata to support automated processes GSIM sprint

9. GSIM V1.0 will enable • Common, agreed terminology • So we can share and reduce the burden… • Moving away from subject oriented production • Industrial, not artisanal • Support for broad-based data capture • Enable use of surveys, administrative data, the data deluge • Support for all dissemination channels • Consistent with existing standards and approaches • GSBPM, CORE, ISO 11179, Neuchâtel, DDI, SDMX GSIM sprint

10. Now, June 2012Strategy

11. Strategy: HOW • Improve processes to free up resources • Make products and services easier to produce • Use the potential of the data deluge • Prepare for organisational changes as consequence of these goals

12. Strategy: Next Steps • Completing the GSIM • Workshop in November • On our (long) list: • Create Plug And Play statistical platform • New methodologies for Big Data • List of candidate projects to be key priority • Inventory of existing projects, create community • Convergence of standardization initiatives

13. Strategy: Governance • CES initiated, but is reaching out • HLG-BAS oversees execution of the strategy • Directly in the subordinate groups • By (written) consent in the other groups • Yearly list of key priorities assigned to appropriate expert groups • Annual workshop with all relevant groups

14. How you can help:

15. Help us with: • Your resources • Your ideas • Your support

16. Discussion; your response • Reactions from: Azerbaijan, Belarus, Bulgaria, Cyprus, Estonia, Israel, Latvia, Lithuania, Mexico, Poland, New Zealand, Serbia, Switzerland, Turkey, Eurostat,

17. Discussion; Do you support: • Standards based integration? • Modular plug and play production? • Development of new data sources? • Rejuvenating statistical offerings? • Need for organizational change? • This strategy? • The governance proposed?

18. Thank You