1. Modernization of official statistics Eric Hermouet Statistics Division, ESCAP hermouete.unescap@un.org

2. Changing environment  The data deluge  New competitors  Changing user demand  Economic pressure 2

3. The data deluge 3 The internet had 1800 exabytes of data in 2011 exa = 10^18

4. The data deluge 4 50 000 exabytes by 2020 Even if 99.9% are videos, photos, audio files, text messages etc., that still leaves a huge amount of potentially relevant data

5. New 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? Can they provide an alternative to population censuses? 5

6. Changing user demands  Statistics made available faster  Need to answer wider range of user –Need to package data differently  Need for more detailed information  Need for integrated data products –Linking logically datasets from different sources 6

7. Response of official statistics community  Develop and promote new: Sources Processes Products  High-Level Group for Strategic Directions in Business Architecture in Statistics (HLG-BAS) –Created by the Conference of European Statisticians in 2010 –9 heads of national and international statistical organizations Civil Registration and Vital Statistics7

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9.  The Challenges are too big for statistical organizations to tackle on their own. We need to work together  Collaboration  Coordination  Communication 9

10. What is modernization?  Common processes  Common tools  Common methodologies  Recognizing that all statistics are produced in a similar way: No domain is “special”  Increased flexibility to adapt to new sources and produce new outputs 10

11. Industry standards G eneric S tatistical B usiness P rocess M odel G eneric S tatistical I nformation M odel S tatistical D ata and M etadata e X change D ata D ocumentation I nitiative 11

12. GSBPM – The Background  Statistical production has traditionally been organised by topic, e.g. transport, trade, …  Some statistical organisations are moving towards a process-based approach 12

13. GSBPM: Why do we need a model?  To define and describe statistical processes in a coherent way  To standardize process terminology  To compare and benchmark processes within and between organisations  To identify synergies between processes  To inform decisions on systems architectures and organisation of resources 13

14. GSBPM: Applicability  All activities undertaken by producers of official statistics which result in data outputs  National and international statistical organisations  Independent of data source, can be used for: –Surveys / censuses –Administrative sources / register-based statistics –Mixed sources 14

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16. Key features of GSBPM  Not a linear model  Sub-processes do not have to be followed in a strict order  It is a matrix, through which there are many possible paths, including iterative loops within and between phases  Some iterations of a regular process may skip certain sub-processes 16

18. Other uses of the GSBPM  Harmonizing statistical computing systems  Facilitating sharing of statistical software  Framework for process quality management  Structure for storage of documents  Measuring operational costs 18

19. GSIM The Generic Statistical Information Model is a reference framework of information objects, which enables generic descriptions of data and metadata definition, management, and use throughout the statistical production process  Another model is needed to describe data and metadata objects and flows within the statistical business process 19

20. GSIM  Provide a common reference model for statistical information  Define the information required to drive statistical production processes and define outputs  Facilitate building efficient metadata driven collection, processing, and dissemination systems 20

21. Civil Registration and Vital Statistics21 Leads to a modular approach in designing software Plug and play tools

22. Related ESCAP activities  EGM in June 2011  SIAP Management Seminar in December 2011  Moscow workshop, April 2012  On the agenda of the upcoming Committee on Statistics, December 2012  http://www.unescap.org/stat/MSIS/index.asp Civil Registration and Vital Statistics22

23. Further information  GSBPM –http://www1.unece.org/stat/platform/display/metis/The+ Generic+Statistical+Business+Process+Modelhttp://www1.unece.org/stat/platform/display/metis/The+ Generic+Statistical+Business+Process+Model  GSIM –http://www1.unece.org/stat/platform/display/metis/Gene ric+Statistical+Information+Model+(GSIM)http://www1.unece.org/stat/platform/display/metis/Gene ric+Statistical+Information+Model+(GSIM)  HLG-BAS –http://www1.unece.org/stat/platform/display/hlgbashttp://www1.unece.org/stat/platform/display/hlgbas 23

24. THANK YOU. Questions? Civil Registration and Vital Statistics24