Meningkatkan Kualitas Official Statistics Melalui Integrasi Big Data

Authors

  • Nisa Hayatun Nufus Politeknik Statistika STIS

DOI:

https://doi.org/10.59603/niantanasikka.v2i1.279

Keywords:

official statistics, big data integration, data quality, analytics, transformative impact

Abstract

This paper delves into the transformative impact of incorporating big data into official statistical practices. The objective is to elevate the overall quality of data by leveraging the potential of big data analytics. The study employs a comprehensive methodology that encompasses data collection, processing, and analysis. The primary aim is to explore how the integration of big data can enhance the accuracy, timeliness, and relevance of official statistics. The research methodology involves the systematic collection of large-scale datasets, followed by advanced analytics techniques to extract meaningful insights. The findings underscore the substantial improvements achieved in the precision and reliability of official statistics through the infusion of big data methodologies. The transformative potential of integrating big data into official statistics is explored, offering valuable insights for policymakers, researchers, and practitioners in the field.

References

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Mayer-Schönberger, V., & Cukier, K. (2013). Big Data: A Revolution That Will Transform How We Live, Work, and Think. Houghton Mifflin Harcourt.

Office for National Statistics. (2019). Data Science Campus: Year in Review 2019. [https://datasciencecampus.ons.gov.uk/]

United Nations Economic Commission for Europe. (2014). Big Data for Official Statistics. UNECE Big Data. [https://statswiki.unece.org/display/BIGDATA/Big+Data+for+Official+Statistics]

World Bank. (2017). Big Data Innovation Challenge: Using Big Data to Help Achieve the Sustainable Development Goals. [https://www.worldbank.org/en/topic/bigdata]

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Published

2023-12-27

How to Cite

Nisa Hayatun Nufus. (2023). Meningkatkan Kualitas Official Statistics Melalui Integrasi Big Data. Nian Tana Sikka : Jurnal ilmiah Mahasiswa, 2(1), 135–143. https://doi.org/10.59603/niantanasikka.v2i1.279

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