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

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

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

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

  5. Issues (2) • Statistical process • Privacy and security • Organisation

  6. The Road to Statistics Based on Big Data • From source orientationto output orientation • Do not let Big Data issues block progress • Roadmap approach: • Identify a programme of outputsbased on Big Data • For each output, define time target andownership • Let owneridentifyconditionstobefulfilled • Commitsupporting services tofulfilling the conditions

  7. 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?

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