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Steven Vale UNECE steven.vale@unece

Strategic vision of the HLG-BAS High-Level Group on Strategic Developments in Business Architecture in Statistics. Steven Vale UNECE steven.vale@unece.org. Background. HLG-BAS created by the Bureau of the Conference of European Statisticians in 2010 Mission:

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Steven Vale UNECE steven.vale@unece

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  1. Strategic vision of the HLG-BASHigh-Level Group on Strategic Developments in Business Architecture in Statistics Steven Vale UNECE steven.vale@unece.org

  2. Background • HLG-BAS created by the Bureau of the Conference of European Statisticians in 2010 • Mission: • To oversee and guide discussions on developments in the business architecture of the statistical production process, including methodological and information technology aspects

  3. HLG-BAS Members • Netherlands - Gosse van der Veen (Chairman) • Australia - Brian Pink • Italy - Enrico Giovannini • Slovenia - Irena Krizman • United States - Katherine Wallman • Eurostat - Walter Radermacher • OECD – Martine Durand • UNECE - Lidia Bratanova • Observers METIS – Alice Born (Canada) MSIS – Rune Gløersen (Norway) SAB – Marton Vucsan (Netherlands)

  4. HLG-BAS Strategic Vision • Endorsed by the Conference of European Statisticians on 14 June • Perspective • Challenges • Vision

  5. The internet has 1800 exabytes of data in 2011 exa = 10^18 Some perspective:

  6. We live in exponential times 50,000 exabytes by 2020 27 fold growth in the next 9 years

  7. Are these data interesting? • Probably 99.9% are videos, photos, audio files, text messages and other nonsense • But that still leaves 1,800,000,000,000,000,000 bytes of potentially relevant data

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

  9. The Challenges are too big for statistical organisations to tackle on their own.We need to work together

  10. Other international initiatives • “Industry” standards • Generic Statistical Business Process Model • Generic Statistical Information Model • Statistical Data and Metadata eXchange • Data Documentation Initiative

  11. Other international initiatives • New collaborative networks • “Statistical Network” • Sharing Advisory Board • ESSNet projects • SDMX / DDI Dialogue

  12. Industrialise statistical production StatisticalConcepts InformationConcepts conceptual GSIM GSBPM Common Generic Industrial Statistics Methods Technology practical StatisticalHowTo ProductionHowTo

  13. Standards save money New methods and architectures for large volumes of data Minimise labour, innovate Collaborate to spread the burden Industrialising processes

  14. Next steps • Autumn 2011: workshop for representatives of the expert groups in the inventory to develop a strategy to implement the vision • June 2012: Strategy presented to Conference of European Statisticians

  15. Questions?steven.vale@unece.orgwww1.unece.org/stat/platform/display/hlgbasQuestions?steven.vale@unece.orgwww1.unece.org/stat/platform/display/hlgbas

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