Page 371 - Special Topic Session (STS) - Volume 2

STS500 Li J.

Research on deepening the application of big
data in government statistics
Li Jiajing
Beijing Municipal Bureau of Statistics, Beijing, China

Abstract
With the advent of the era of big data, new opportunities and challenges are
brought to government statistics. In terms of the external environment of
government statistics, the big data are considered as the new competitive
resources to be raised into the national strategic level, so various countries
around the world are scrambling to enact relevant strategic policies to
promote the research and development of big data. In terms of the internal
environment of government statistics, the big data have such distinct
characteristics as a broad variety of sources, diverse forms and non-
standardization to exert a great impact on traditional data collection, analysis
and publishing, etc. The government statistics is no longer the only data
producer and publisher, and faces many problems like prominent
phenomenon of data coming from various sources, increasingly obvious time
lag of official data, and poor utilization of data. In such internal and external
environments, the application of big data is still in the preliminary exploration
stage for the government statistics, so it is especially necessary to explore how
to deepen the application of big data in government statistics. By elaborating
the concept and characteristics of big data, analyzing the thinking contained
in big data, and revealing the difference in thinking between the big data and
government statistics, this paper, on the basis of summarizing the
characteristics of big data applications in enterprises, explores how to draw on
the thinking and application experience of big data, and finds out the point of
convergence between big data and government statistics, thus achieving
complementary effects. This paper starts from the statistical business process,
divides the government statistical process into three parts such as data
collection, data analysis and data release, analyzes the applicability of big data
in each part, and then makes targeted suggestions, so as to improve the data
quality of government statistics, reflect the economic and social dynamics of
the new era in a timely and accurate manner, and provide a better reference
for government decision-making.

Keywords
big data thinking; statistical process; application space

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