1. Open Data and Economic Growth Andrew Stott Senior Consultant World Bank Washington DC 23 July 2014 v0.2 @dirdigeng andrew.stott@dirdigeng.com

2. Why is Open Data beneficial? 2

3. New Services 3 estate agents/ realtors Financial services builders and other local services

4. Greater Efficiency 4

5. Better Decisions 5

6. The Size of the Potential Prize 6

7. McKinsey Global Institute 7

8. European Commission: Vickery & Deloitte Open Gov Data in EU would ‒ increase business activity by up to €40 Bn/yr ‒ have total benefits up to €200 Bn/yr Open Data was reused 10x-100x New types of re-users, in particular SMEs. Costs increase very little 8

9. Omidyar/Lateral Economics 9 Mechanism% of Aus GDP Trade facilitation0.10 Fiscal and Monetary Policy0.23 Anti-Corruption0.10 Employment Efficiency0.22 Energy Efficiency0.11 Infrastructure – optimising use0.13 Infrastructure – efficiency in building0.10

10. Possible Benefits of Open Data 10 DateStudyTotal (%GDP) 2013McKinsey4.1 2011EC1.5 2014Lateral Economics1.1 2013Shakespeare0.4 Normalised using IMF, World Bank and OECD data

11. What are the Open Data Businesses 11

12. Suppliers 12 20042010 Online publications Pay per useFree of charge Downloads130,3001,093,000 Premium Accounts 3669 Premium analyses 78,000 EUR152,000 EUR

13. Aggregators 13

14. Developers 14

15. Enrichers 15

16. Enablers 16

17. Measuring Benefits is not easy 17

18. Timescale? 18

19. Which data is most valuable or most widely valuable? 19

20. Geospatial Reference Data: Maps & Addresses 20

21. Transport Information 21

22. Census and other detailed statistics 22

23. Government Spending and Procurement 23

24. Weather Data

25. How can Governments achieve the benefits? 25

26. Government as Supplier 26

27. Government as Leader 27

28. Government as Catalyst 28

29. Government as User 29

30. How far is this potential available to developing countries? Relative size of sectors? Gaps between current and potential efficiency? Availability of data? Public Management model? Infrastructure? Skills? Business environment? Markets for data-rich services? 30

31. Thank you 31

32. 32