Eric Hermouet
Statistics Division, ESCAP hermouete.unescap@un.org

 The data deluge
 New competitors
 Changing user demand
 Economic pressure
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The internet had 1800 exabytes of data in 2011 exa = 10^18
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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
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 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?
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 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
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 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
7 Civil Registration and Vital Statistics

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 The Challenges are too big for statistical organizations to tackle on their own.
We need to work together
 Collaboration
 Coordination
 Communication
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 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
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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
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 Statistical production has traditionally been organised by topic, e.g. transport, trade, …
 Some statistical organisations are moving towards a process-based approach
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 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
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 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
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
 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
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 Harmonizing statistical computing systems
 Facilitating sharing of statistical software
 Framework for process quality management
 Structure for storage of documents
 Measuring operational costs
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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
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 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
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Leads to a modular approach in designing software
Plug and play tools
21 Civil Registration and Vital Statistics

 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
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 GSBPM
– http://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)
 HLG-BAS
– http://www1.unece.org/stat/platform/display/hlgbas
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THANK YOU.
Questions?
Civil Registration and Vital Statistics