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Initiatives for the industrialisation of statistics and their impact on business registers

Initiatives for the industrialisation of statistics and their impact on business registers. Steven Vale UNECE steven.vale@unece.org. Contents. Streamlining and Industrialisation International initiatives Implications for business registers Opportunities and threats Conclusions.

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Initiatives for the industrialisation of statistics and their impact on business registers

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  1. Initiatives for the industrialisationof statistics and their impact on business registers Steven Vale UNECE steven.vale@unece.org

  2. Contents • Streamlining and Industrialisation • International initiatives • Implications for business registers • Opportunities and threats • Conclusions

  3. Streamlining is: • Improving efficiency • Reducing costs • More timely data • Increased flexibility to produce new outputs • A challenge faced by all statistical organisations

  4. Industrialisation is: • Common processes • Common tools • Common methodologies • Recognising that all statistics are produced in a similar way, rather than each domain being “special” • A consequence of streamlining

  5. Many international groups and projects are talking about streamlining and industrialising statistics

  6. The internet has 1800 exabytes of data in 2011 exa = 10^18 Why this great interest?

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

  8. Are these data interesting? • Probably 99.9% are videos, photos, audio files, text messages and other nonsense • But that still leaves1,800,000,000,000,000,000bytes of potentially relevant data

  9. Private sector competitors? • Google: • Data labs • Public Data Explorer • Real-time price indices • First point of reference for the “data generation” • Facebook, store cards, credit agencies, ... • What if they link their data?

  10. Coordination – HLG-BAS • High-Level Group for Strategic Directions in Business Architecture in Statistics • UNECE group, created by 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

  11. 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)

  12. HLG-BAS Strategic Vision • Endorsed by the Conference of European Statisticians on 14 June We have to re-invent our products and processes and adapt to a changed world

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

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

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

  16. What does this mean in practice? • Collaboration • Coordination • Communication

  17. Changing the focus • From local to corporate optimum • Standard processes within an organisation • Not always the best choice for individual statistical domains, but more efficient at the level of the organisation • Requires strategic decisions and clear management commitment • From corporate to global optimum?

  18. Changing roles for NSOs? • Data integration • Quality assurance • More focus on analysis and interpretation • Partnerships for dissemination • Changing staff and cost profiles • Changing organisational culture

  19. Opportunities and threats for statistical business registers • Reduced role of surveys and sampling frames • Greater use of external and mixed data sources • BR becomes “gateway” for business data • More satellite registers? • More sophisticated matching techniques needed • More integration between statistical registers • Register or business statistics database? • Source of new statistics

  20. 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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