Data Science and Analytics for Decision Support (SIG DSA)

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Paper Type

ERF

Paper Number

1599

Description

National Statistics Offices (NSOs) integrate the global statistical network system. As it happens with other organizations, NSOs need to innovate in their technological structure to keep offering timely and high-quality official data. Big Data technologies are among the most relevant to improve the performance of NSOs. However, on the one hand, there is considerable variation among NSOs regarding the adoption of these technologies, which is a matter of concern. On the other hand, the phenomenon is not being addressed in the research literature. This study outlines research that aims to contribute to the understanding of how NSO organizations adopt and disseminate Big Data technologies in their main processes, including collecting, analyzing, and providing public statistics.

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Aug 9th, 12:00 AM

The adoption of Big Data technologies - A challenge for National Statistics Offices

National Statistics Offices (NSOs) integrate the global statistical network system. As it happens with other organizations, NSOs need to innovate in their technological structure to keep offering timely and high-quality official data. Big Data technologies are among the most relevant to improve the performance of NSOs. However, on the one hand, there is considerable variation among NSOs regarding the adoption of these technologies, which is a matter of concern. On the other hand, the phenomenon is not being addressed in the research literature. This study outlines research that aims to contribute to the understanding of how NSO organizations adopt and disseminate Big Data technologies in their main processes, including collecting, analyzing, and providing public statistics.

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