Big Data : Potential, Challenges and Statistical Implications /

Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-me...

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Autore principale: Hammer, Cornelia
Altri autori: Kostroch, Diane, Quiros-Romero, Gabriel
Natura: Periodico
Lingua:English
Pubblicazione: Washington, D.C. : International Monetary Fund, 2017.
Serie:Staff Discussion Notes; Staff Discussion Notes ; No. 2017/006
Accesso online:Full text available on IMF
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245 1 0 |a Big Data :   |b Potential, Challenges and Statistical Implications /  |c Cornelia Hammer, Diane Kostroch, Gabriel Quiros-Romero. 
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490 1 |a Staff Discussion Notes 
500 |a <strong>Off-Campus Access:</strong> No User ID or Password Required 
500 |a <strong>On-Campus Access:</strong> No User ID or Password Required 
506 |a Electronic access restricted to authorized BRAC University faculty, staff and students 
520 3 |a Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-mediated, and machine-generated big data. The proposed SDN sets out a typology of big data for statistics and highlights that opportunities to exploit big data for official statistics will vary across countries and statistical domains. To illustrate the former, examples from a diverse set of countries are presented. To provide a balanced assessment on big data, the proposed SDN also discusses the key challenges that come with proprietary data from the private sector with regard to accessibility, representativeness, and sustainability. It concludes by discussing the implications for the statistical community going forward. 
538 |a Mode of access: Internet 
700 1 |a Kostroch, Diane. 
700 1 |a Quiros-Romero, Gabriel. 
830 0 |a Staff Discussion Notes; Staff Discussion Notes ;  |v No. 2017/006 
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