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Big data Big impact?
 

Big data Big impact?

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

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

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    Big data Big impact? Big data Big impact? Presentation Transcript

    • 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 statistics 3
    • Big Data Characteristics –Trends –Qualitative changes –“Big Data are data sources” –Volume, velocity and variety –Big Data may have no design 4
    • 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 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
    • 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