Seminar on Statistical Data Collection Geneva, 25 – 27 September 2013

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Presentation transcript:

Seminar on Statistical Data Collection Geneva, 25 – 27 September 2013 Big Data, Big Impact? Peter Struijs and Piet Daas Seminar on Statistical Data Collection Geneva, 25 – 27 September 2013

Big Data characteristics Content Big Data characteristics Example: The use of traffic loop data for statistics Big Data issues From ideas to statistics

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

Statistical methodology Issues (1) Positioning of the NSI Statistical output Statistical methodology

Issues (2) Statistical process Privacy and security Organisation

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

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?