1. United Nations Economic Commission for Europe Statistical Division UNECE Big Data Work Steven Vale UNECE steven.vale@unece.org

3. Big Data

4. Big Data Data sources with high volume, velocity and variety of data, which require new tools and methods to capture, curate, manage, and process them in an efficient way Source: UNECE and UNSD

5. What does Big Data mean for official statistics? Priorities:  Partnerships – Guidelines  Privacy – Guidelines  Quality – Guidelines  Skills – Survey Skills profile  IT / methodological issues - Sandbox

6. Sandbox  Irish Centre for High-end Computing is hosting a Big Data ‘sandbox’ containing data and tools for international experiments “Play is the highest form of research” – Einstein

9. Sandbox: Aims  Is remote access and processing a feasible approach for statistical production?  Can existing statistical standards / methods be applied to Big Data?  Which Big Data software tools are most useful for statistical organisations?  What are the potential uses, advantages and disadvantages of Big Data? “Learning by doing”  Can we build an international collaboration community on the use of Big Data for statistics?

10. Social Media Mobile Phones Prices Smart Meters Job Vacancies Web Scraping Traffic Loops

11. 7 Sandbox Experiment Teams 75 Individuals from 25 countries / organisations 3 Task Teams Executive Board, Modernisation Committees 1 Project Manager 2 Coordinators Partners

12. Results

13. Project output available on UNECE Wiki http://www1.unece.org/stat/platform/display/bigdata/2014+Project

14. 2015 Project  More sandbox experiments  More data UNSD Comtrade Wikipedia Twitter Enterprise web site data  Future of the sandbox approach “Sprint” – Cork, 22-24 June

15. 2015 Project Challenge from the High-level Group: Produce and release a set of internationally comparable statistics from one or more Big Data sources By November 2015!

16. Get involved! Anyone is welcome to contribute! Contact: support.stat@unece.orgsupport.stat@unece.org More Information  Big Data Wiki: www1.unece.org/stat/platform/display/bigdata  LinkedIn group: “Modernising official statistics”  Big Data Inventory: http://www1.unece.org/stat/platform/x/XAeDBg