2. 2 “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 developmentA 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

3. 3 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

4. 4

5. 5 Why do we need a “data revolution”? What should a “data revolution” include? How can it be achieved?

6. 6 Why do we need a data revolution? Old problems Emerging priorities New opportunities

7. 7  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

8. 8 Source: United Nations Statistics Division, accessed via PARIS21 Metabase

9. 9 Source: Worldbank, accessed via PARIS21 Metabase

10. 10 Source: Ghana Statistical Service, 2013

11. 11 How can we achieve a data revolution? Build on what we have Harness new opportunities Build new partnerships

12. 12 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)

13. 13 Source: Using ICT’s to shape the post-2015 framework, European Development Days 2013, Orange

14. 14 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 non- traditional 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)

15. 15 International comparison Official / non-official Real-time data Innovative approaches Open data National monitoring High-/ low-quality Vetted stats Global standards Privacy protection vs.

16. 16

17. 17 1 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

18. 18 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

19. 19 …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

20. 20 A huge chance!  Harnessing new innovations (mobile devices, engaging with private sector,…)  Leapfrogging  Taking the lead ….and some risks….. Get engaged!

21. 21 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

22. twitter.com/ContactPARIS21 facebook.com/ContactPARIS21 youtube.com/PARIS21OECD PARIS21 Secretariat OECD/DCD 4 Quai du Point du Jour 92100 Boulogne-Billancourt, France contact@paris21.org www.paris21.org