1. Experimental statistics
DIME/ITDG SG
10 November 2017

2. Experimental statistics: why?
Pilot dissemination of statistics with a different level of maturity
New sources (big data), new methods (modelling)
Better answer user needs: "fill the gaps"
Should be interpreted with care (logo, methodology)
Launching a debate

3. Experimental statistics: so far so good
Title
Date of release
Skills mismatch indicators
08/08/2017
Income, Consumption and wealth
04/07/2017
Food price monitoring tool
08/06/2017
Labour market flow data based on modelling
World heritage sites
Early estimation of income distribution (Flash estimates)
15/09/2017

4. Labour market transitions

5. Skills mismatch indicators
Over-qualification rate
Job mismatch by field of education

6. Prices from farm to consumer

7. Eurostat online database
Includes web services and bulk download

8. User Feedback and comments
Good to see innovation & experimentation. Thanks for sharing!
Another step forward from data to knowledge. Thumbs up and many thanks
Very interesting, new!
A good way to push innovation
in official statistics

9. Impact on audience 15 600 page views (mainly external)
8 000 for introduction, per product
4 983 access data
Top: Food Price Monitoring Tool and
Income, Consumption and Wealth
450 access methodology
Same for ICW, Labour market flow and World Heritage sites

10. Areas for improvement
Promotion: general and targeted, also through social media
Visibility of the section experimental statistics Simplify feedback function
User forum

11. ESS social network for advanced statistics users
Part of WP1 "User analysis" of DIGICOM
Main objectives:
facilitate knowledge sharing between producers of official statistics
allow ongoing dialogue between users and producers
European Statistics User Forum was identified as platform (survey in April 2017)
Pilot launched in October 2017