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Source: Big Data : Potential, Challenges and Statistical Implications

Volume/Issue: 2017/6

Series: Staff Discussion Notes

Author(s): Cornelia Hammer , Diane Kostroch , and Gabriel Quiros

Publisher: INTERNATIONAL MONETARY FUND

Publication Date: 13 September 2017

ISBN: 9781484310908

Keywords: Surveillance, Big Data, Macroeconomic and Financial Statistics, Official Statistics, Data Quality, General, Institutions and the Macroeconomy, Introductory Material

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 com...

Big Data
			: Potential, Challenges and Statistical Implications

Big Data : Potential, Challenges and Statistical Implications »

Volume/Issue: 2017/6

Series: Staff Discussion Notes

Author(s): Cornelia Hammer , Diane Kostroch , and Gabriel Quiros

Publisher: INTERNATIONAL MONETARY FUND

Publication Date: 13 September 2017

DOI: http://dx.doi.org/10.5089/9781484310908.006

ISBN: 9781484310908

Keywords: Surveillance, Big Data, Macroeconomic and Financial Statistics, Official Statistics, Data Quality, General, Institutions and the Macroeconomy, Introductory Material

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 com...