Big data Big impact?

477 views
292 views

Published on

Presentation for the Seminar on Statistical Data Collection, Geneva, Switzerland (25-27 September, 2013)

Published in: Technology, Economy & Finance
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
477
On SlideShare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Big data Big impact?

  1. 1. Seminar on Statistical Data Collection Geneva, 25 – 27 September 2013 Big Data, Big Impact? Peter Struijs and Piet Daas
  2. 2. 2
  3. 3. Content –Big Data characteristics –Example: The use of traffic loop data for statistics –Big Data issues –From ideas to statistics 3
  4. 4. Big Data Characteristics –Trends –Qualitative changes –“Big Data are data sources” –Volume, velocity and variety –Big Data may have no design 4
  5. 5. 5
  6. 6. Issues (1) –Positioning of the NSI –Statistical output –Statistical methodology 6
  7. 7. Issues (2) –Statistical process –Privacy and security –Organisation 7
  8. 8. The Road to Statistics Based on Big Data – From source orientation to output orientation – Do not let Big Data issues block progress – Roadmap approach: ‐Identify a programme of outputs based on Big Data ‐For each output, define time target and ownership ‐Let owner identify conditions to be fulfilled ‐Commit supporting services to fulfilling the conditions 8
  9. 9. Conclusion – What is the role of NSIs in the future? – How to make progress in making statistics based on Big Data? – What does this mean for the national and international statistical community? 9

×