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United Nations Economic Commission for Europe Statistical Division The Data Deluge: What Does It Mean for Official Statistics? Steven Vale UNECE

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Presentation on theme: "United Nations Economic Commission for Europe Statistical Division The Data Deluge: What Does It Mean for Official Statistics? Steven Vale UNECE"— Presentation transcript:

1 United Nations Economic Commission for Europe Statistical Division The Data Deluge: What Does It Mean for Official Statistics? Steven Vale UNECE steven.vale@unece.org

2 Contents  What is the Data Deluge?  Response of the official statistics community  Industrialisation – a related challenge  Changing roles for national statistical organisations

3 What is the Data Deluge? The internet has 1800 exabytes of data in 2011 exa = 10^18

4 50,000 exabytes by 2020 We live in exponential times! 27 fold growth in the next 9 years

5 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

6 An Observation More and more people post information about themselves on Facebook, but less and less complete statistical surveys Should we create STATVILLE?

7 Private sector competitors?  Google: Real-time price indices Public Data Explorer First point of reference for the “data generation”  Facebook, store cards, credit agencies,... What if they link their data?  The private sector now understands the value of data: Can they beat us at our own game?

8  High-Level Group for Strategic Directions in Business Architecture in Statistics  UNECE group, created by the Conference of European Statisticians in 2010  8 heads of national and international statistical organisations  Develop and promote new: Sources Processes Products Official Statistics Response

9  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 HLG-BAS Strategic Vision

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

11 What does this mean in practice?  Collaboration  Coordination  Communication

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

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14 Industrialisation is:  Common processes  Common tools  Common methodologies  Recognising that all statistics are produced in a similar way: No domain is “special”  Increased flexibility to adapt to new sources and produce new outputs

15 Changing roles in NSOs?  One source = one output  Data integration – multiple sources  Process quality assurance  More focus on analysis and interpretation  Partnerships for dissemination  Changing staff and cost profiles  Changing organisational culture

16 Wider Definition of Admin Data?  New sources are “non-statistical”  But - similar issues to “traditional” administrative data sources Whatever we call the new sources, we can’t ignore them!

17 Which new sources are you going to check out?

18 Questions? steven.vale@unece.org www1.unece.org/stat/platform/display/hlgbas steven.vale@unece.org www1.unece.org/stat/platform/display/hlgbas


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