Big Data in the Philippines: How do we actually use them?

Autor: Lisa Grace S. Bersales, Josefina V. Almeda, Marie Nadeen R. Martinez, Dannela Jann B. Galias, Sabrina O. Romasoc
Rok vydání: 2021
Předmět:
Zdroj: Statistical Journal of the IAOS. 37:1347-1377
ISSN: 1875-9254
1874-7655
DOI: 10.3233/sji-210826
Popis: With the advancement of technology, digitalization, and the internet of things, large amounts of complex data are being produced daily. This vast quantity of various data produced at high speed is referred to as Big Data. The utilization of Big Data is being implemented with success in the private sector, yet the public sector seems to be falling behind despite the many potentials Big Data has already presented. In this regard, this paper explores ways in which the government can recognize the use of Big Data for official statistics. It begins by gathering and presenting Big Data-related initiatives and projects across the globe for various types and sources of Big Data implemented. Further, this paper discusses the opportunities, challenges, and risks associated with using Big Data, particularly in official statistics. This paper also aims to assess the current utilization of Big Data in the country through focus group discussions and key informant interviews. Based on desk review, discussions, and interviews, the paper then concludes with a proposed framework that provides ways in which Big Data may be utilized by the government to augment official statistics.
Databáze: OpenAIRE
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