Transcript Slide 1

“A true data revolution would draw on
existing and new sources of data to fully
integrate statistics into decision making,
promote open access to, and use of, data
and ensure increased support for
statistical systems.”
A new global partnership: eradicate poverty and transform economies through sustainable
development: The Report of the High-Level Panel of Eminent Persons on the Post-2015
Development Agenda, 30 May 2013, Chapter 4
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Call for data revolution parallels Busan Action Plan on
Statistics, that seeks to :
 Fully integrate statistics in decision making
 Promote open access to and use of data
 Increase resources for statistical systems
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4
Why do we need a “data revolution”?
What should a “data revolution” include?
How can it be achieved?
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Why do we need a data revolution?
• Old problems
• Emerging priorities
•
New opportunities
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 Data does not exist
 Data exists, but not in a useable
forms for users
 Data exists, in useable forms, but
nobody knows how to use it and or
cares
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100%
Africa
80%
Asia-Pacific
60%
Eastern Europe
40%
Latin America and
Caribbean
20%
ECOWAS
0%
% of countries have a CRVS coverage over 90 %
Source: United Nations Statistics Division, accessed via PARIS21 Metabase
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100%
Africa
80%
Asia-Pacific
60%
Eastern Europe
40%
Latin America and
Caribbean
20%
ECOWAS
0%
% of the countries conducted a agricultural census in
the last five years
Source: Worldbank, accessed via PARIS21 Metabase
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Source: Ghana Statistical Service, 2013
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How can we achieve a data revolution?
• Build on what we have
• Harness new opportunities
• Build new partnerships
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• Google’s “Flu Trends”
drastically overestimated
peak flu levels in 2013
• Data quality control is
important when dealing
with issues that have
serious implications,
such as national health
Source: OECD Project on Data and Data Analytics: Prospects for Growth and Well-Being (http://oe.cd/bigdata)
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Source: Using ICT’s to shape the post-2015 framework, European Development Days 2013, Orange
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• Should NSOs…

take on a new mission as a trusted third party
whose role would be to certify the statistical
quality of these new sources?

use non-traditional sources to augment (and
perhaps replace) their official series?

issue statistical best practices in the use of nontraditional sources and the mining of big data?

be given legal power to collect personal
information?
Source: OECD Project on Data and Data Analytics: Prospects for Growth and Well-Being (http://oe.cd/bigdata)
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International comparison
Official / non-official
Real-time data
Innovative approaches
Open data
vs.
National monitoring
High-/ low-quality
Vetted stats
Global standards
Privacy protection
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Should …
1. Get the right data, to the right people, at the right
time, in the right format
2. Build on past successes (such as NSDS)
3. Support decision makers to make informed decision
for better lives
4. Be implemented in ways to strengthen statistical
capacity and improve data production
1
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• Taking stock of the situation in National Statistical
Systems and the needs of producers and users in
developing countries
• Exploring innovations and seeing if and how they
can be replicated
• Producing a Road Map for the next five years
• Carrying out Research to feed into the Road Map
• Advocating for and promoting a data revolution
in context of Post2015 and OWG discussions
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…an information tool on the capacity of a
national statistical system
…a data directory, not a data repository
…a knowledge hub for innovations in statistics
…a foundation for IDR country selection process
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• A huge chance!
Harnessing new innovations (mobile devices,
engaging with private sector,…)
 Leapfrogging
 Taking the lead

• ….and some risks…..
• Get engaged!
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• The data revolution will look different in every
country and region – it will be quite often old
wine in new bottles
• Common principles needed:
Better coordination
 Increased support
 Strengthened capacity

• Ultimate goal remains: improving lives
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