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Meeting Challenges of Unstructured Data: European Statistical System experience

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Title: PowerPoint Presentation Author: BERNARD Viktoriya (ESTAT) Last modified by: UserXP Created Date: 4/9/2013 9:07:50 PM Document presentation format – PowerPoint PPT presentation

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Title: Meeting Challenges of Unstructured Data: European Statistical System experience


1
Meeting Challenges of Unstructured Data European
Statistical System experience
International Seminar on Modernizing Official
Statistics Meeting Productivity and New Data
Challenges Tianjin, Peoples Republic of China 24
- 26 October 2013
  • Mariana Kotzeva, Advisor Hors Classe, Eurostat

ESTAT
Eurostat
2
This presentation
  • describes the current state and next steps with
    regard to big data in the European statistical
    system
  • Outlines 3 concrete projects related to big data
    launched by Eurostat in 2013
  • Outlines challenges ahead putting a focus on the
    issues that represent unique opportunity for
    co-operation at supranational and global level.

ESTAT
Eurostat
3
Unstructured data what does it mean?
  • Data that are not arranged in columns and rows,
    not properly titled or identified
  • Data for which it is necessary to apply tools to
    categorise, tag, pool, identify key elements and
    make correlations in order to gain insight from
    them
  • Content Unstructured data refers to emails,
    documents and other objects that are made up of
    free-following text

Mariana Kotzeva, Eurostat
ESTAT
Eurostat
4
Big data?
Mariana Kotzeva, Eurostat
ESTAT
Eurostat
5
Is unstructured data the same as big data?
  • Unstructured data is just one piece of the
    puzzle
  • Unstructured data is responsible for the Variety
    characteristic of the big data
  • Making sense of unstructured data isnt about
    technology, it is a business intelligence
  • To transfer into actionable intelligence is the
    value added that unstructured data bring to big
    data.

ESTAT
Eurostat
6
Big data is high on the agenda of the European
Statistical System
  • Eurostat participates in the UNECE initiatives
    under the High Level Group on Modernisation of
    Official Statistics
  • Memorandum on Big Data and Official statistics of
    the ESS, adopted at 99th DGINs conference in
    September 2013
  • Eurostat created an internal structure that will
    deal only with big data since 1st of Jan 2014
  • A Task Force on big data involving Member states
    is in process of establishment for developing an
    ESS action plan and roadmap on big data

ESTAT
Eurostat
7
European projects on big data launched in 2013
  • Internet as a data Source for Information
    Society statistics
  • Use of mobile positioning data for tourism
    statistics
  • Collecting prices via the Internet for price
    statistics

ESTAT
Eurostat
8
Internet as a data source for Information Society
statistics
  • Current situation in Information society
    statistics
  • Based on two traditional surveys - on households
    and on enterprises
  • Purpose of the feasibility study
  • Which items could be collected over the Internet?
  • Results
  • Items such as e-skills, e-commerce, use of
    e-government, use of internet is feasible to be
    measured over Internet
  • Items measuring subjective opinions and offline
    items CANNOT be measured using digital
    footprints
  • For enterprises, part of the ICT indictors would
    be available on the enterprise websites but some
    of them will be available only via the servers of
    the enterprises
  • Survey suggests a number of new indicators that
    can be derived form Internet

ESTAT
Eurostat
9
Use of mobile positioning data for tourism
statistics
  • Active mobile positioning
  • Passive mobile positioning.

ESTAT
Eurostat
10
Issues identified so far
  • Reluctance of data providers to give access to
    data
  • Privacy concerns
  • Technological barriers
  • Diversity in data protection legislation
  • Diversity in the data sources that introduces
    even higher complexity in programming generic
    software tools
  • Methodological and quality issues- i.e
    comparability versus relevance.

ESTAT
Eurostat
11
The way forward
  • Official statistics community now on the move!
  • Collaboration
  • Big Data goes beyond statistics authorities ?
    national/government strategies needed
  • Public-Private Partnerships (could help
    build-up)
  • Multidisciplinary teams including legal
    expertise
  • Action
  • Demystify data science and build up skills
  • Applications-driven approach and learning by
    doing .

Mariana Kotzeva, Eurostat
ESTAT
Eurostat
12
Thank you for your attention!
  • mariana.kotzeva_at_ec.europa.eu
  • http//ec.europa.eu/eurostat

ESTAT
Eurostat
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