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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 industrialisation of statistics and their impact on business registers l.jpg

Initiatives for the industrialisationof statistics and their impact on business registers

Steven Vale

UNECE

[email protected]


Contents l.jpg

Contents

  • Streamlining and Industrialisation

  • International initiatives

  • Implications for business registers

    • Opportunities and threats

  • Conclusions


Streamlining is l.jpg

Streamlining is:

  • Improving efficiency

  • Reducing costs

  • More timely data

  • Increased flexibility to produce new outputs

  • A challenge faced by all statistical organisations


Industrialisation is l.jpg

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


Slide5 l.jpg

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


Why this great interest l.jpg

The internet

has 1800

exabytes of

data in 2011

exa = 10^18

Why this great interest?


50 000 exabytes by 2020 l.jpg

We live in

exponential

times!

50,000 exabytes by 2020

27 fold

growth in

the next

9 years


Are these data interesting l.jpg

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 l.jpg

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 l.jpg

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 l.jpg

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)


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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


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


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Other international initiatives

  • “Industry” standards

    • Generic Statistical Business Process Model

    • Generic Statistical Information Model

    • Statistical Data and Metadata eXchange

    • Data Documentation Initiative


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Other international initiatives

  • New collaborative networks

    • “Statistical Network”

    • Sharing Advisory Board

    • ESSNet projects

    • SDMX / DDI Dialogue


What does this mean in practice l.jpg

What does this mean in practice?

  • Collaboration

  • Coordination

  • Communication


Changing the focus l.jpg

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 l.jpg

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 l.jpg

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


Questions steven vale@unece org www1 unece org stat platform display hlgbas l.jpg

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


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