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Research on the Challenges and Innovations Faced in Social Statistics Work in the Digital Era

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DOI: 10.23977/infkm.2023.040406 | Downloads: 9 | Views: 253

Author(s)

Qihan Bao 1

Affiliation(s)

1 School of Mathematics, University of Calgary, Calgary, T2N 1N4, Canada

Corresponding Author

Qihan Bao

ABSTRACT

The continuous development of information technology has led to digital transformation and transformation in society. The effective utilization of digital technology by enterprises and other entities is conducive to promoting their establishment of innovative development concepts, optimizing resource allocation, promoting changes in the internal structure of digital entities, promoting intelligent management models, and then improving management efficiency, ultimately driving changes in the overall industrial structure and resource allocation of society. Especially in the face of the increasing amount of information technology data, big data and digital technology have become important forces driving social and economic transformation, bringing huge challenges and opportunities to social statistical work. In this social context, statistical work has undergone changes in data sources, technological environment, decision-making needs, and other aspects. Based on a specific analysis of the challenges and changes brought by digitization to social statistical work, this paper explores the innovative development of social statistical work in the digital era.

KEYWORDS

Digitization; social statistics; data

CITE THIS PAPER

Qihan Bao, Research on the Challenges and Innovations Faced in Social Statistics Work in the Digital Era. Information and Knowledge Management (2023) Vol. 4: 35-39. DOI: http://dx.doi.org/10.23977/infkm.2023.040406.

REFERENCES

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[3] Wang Jiawei. Research on the Challenges and Innovations Faced by Digital Transformation and Economic and Social Statistics [J]. Vitality, 2023 (3): 117.
[4] Tong Yeping, Wu Pei, Wang Ru. Reflections on Promoting the Modernization of Statistics through Digital Transformation [J]. Statistical Theory and Practice, 2023 (2): 72.

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