Seminar on Statistical Data Collection
Geneva, 25 – 27 September 2013
Big Data, Big Impact?
Peter Struijs and Piet Daas
2
Content
–Big Data characteristics
–Example: The use of traffic loop data
for statistics
–Big Data issues
–From ideas to st...
Big Data Characteristics
–Trends
–Qualitative changes
–“Big Data are data sources”
–Volume, velocity and variety
–Big Data...
5
Issues (1)
–Positioning of the NSI
–Statistical output
–Statistical methodology
6
Issues (2)
–Statistical process
–Privacy and security
–Organisation
7
The Road to Statistics Based on Big Data
– From source orientation to output
orientation
– Do not let Big Data issues bloc...
Conclusion
– What is the role of NSIs in the future?
– How to make progress in making statistics
based on Big Data?
– What...
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Big data Big impact?

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

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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

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