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Initiatives for the industrialisation of statistics and their impact on business registers. Steven Vale UNECE [email protected] Contents. Streamlining and Industrialisation International initiatives Implications for business registers Opportunities and threats Conclusions.

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Initiatives for the industrialisationof statistics and their impact on business registers

Steven Vale

UNECE

[email protected]


Contents

  • Streamlining and Industrialisation

  • International initiatives

  • Implications for business registers

    • Opportunities and threats

  • Conclusions


Streamlining is:

  • Improving efficiency

  • Reducing costs

  • More timely data

  • Increased flexibility to produce new outputs

  • A challenge faced by all statistical organisations


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


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


The internet

has 1800

exabytes of

data in 2011

exa = 10^18

Why this great interest?


We live in

exponential

times!

50,000 exabytes by 2020

27 fold

growth in

the next

9 years


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


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?


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


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

  • ObserversMETIS – Alice Born (Canada)MSIS – Rune Gløersen (Norway)SAB – Marton Vucsan (Netherlands)


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


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


Other international initiatives

  • “Industry” standards

    • Generic Statistical Business Process Model

    • Generic Statistical Information Model

    • Statistical Data and Metadata eXchange

    • Data Documentation Initiative


Other international initiatives

  • New collaborative networks

    • “Statistical Network”

    • Sharing Advisory Board

    • ESSNet projects

    • SDMX / DDI Dialogue


What does this mean in practice?

  • Collaboration

  • Coordination

  • Communication


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?


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


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


[email protected]/stat/platform/display/hlgbas


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