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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

Initiatives for the industrialisationof statistics and their impact on business registers

Steven Vale

UNECE

[email protected]

contents
Contents
  • Streamlining and Industrialisation
  • International initiatives
  • Implications for business registers
    • Opportunities and threats
  • Conclusions
streamlining is
Streamlining is:
  • Improving efficiency
  • Reducing costs
  • More timely data
  • Increased flexibility to produce new outputs
  • A challenge faced by all statistical organisations
industrialisation is
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
Many international groups and projects are talking about streamlining and industrialising statistics
why this great interest
The internet

has 1800

exabytes of

data in 2011

exa = 10^18

Why this great interest?
50 000 exabytes by 2020
We live in

exponential

times!

50,000 exabytes by 2020

27 fold

growth in

the next

9 years

are these data interesting
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
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
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
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)
hlg bas strategic vision
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

slide14
The Challenges are too big for statistical organisations to tackle on their own.We need to work together
other international initiatives
Other international initiatives
  • “Industry” standards
    • Generic Statistical Business Process Model
    • Generic Statistical Information Model
    • Statistical Data and Metadata eXchange
    • Data Documentation Initiative
other international initiatives16
Other international initiatives
  • New collaborative networks
    • “Statistical Network”
    • Sharing Advisory Board
    • ESSNet projects
    • SDMX / DDI Dialogue
what does this mean in practice
What does this mean in practice?
  • Collaboration
  • Coordination
  • Communication
changing the focus
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
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
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
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