Retail Analytics to anticipate Covid-19 effects Using Big Data Technologies

Sharma, Jessica; Sharma, Deepikesh; Sharma, Krishneel K.

doi:10.1109/csde53843.2021.9718390

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…Other studies also address maintaining social distance in real time using image processing (Melenli & Topkaya, 2020), the development of COVID-19 Surveillance Dashboard (Peddireddy et al, 2020), detecting illicit product sales (Mackey et al, 2020), and retail analytics from which organisations can make decisions to anticipate the COVID-19 effects, specifically, to produce production possibility curve, reduce shortage and avoid surplus using demand and supply curves, and detect current economic conditions (Sharma et al, 2021).…”

Section: Big Data and Covid-19 Related Analysismentioning

confidence: 99%

Big Data, Sentiment Analysis, and Examples during the COVID-19 Pandemic

2022

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Applied research in Big Data has gained popularity and is already transforming corporations, public sector, health care and subsequently everyday life. Big Data are being analysed for a variety of reasons, e.g., predict Brexit negotiating outcomes, optimise operations in agriculture, map and analyse human mobility trends under non-pharmaceutical interventions during the recent pandemic. The period of the COVID-19 pandemic has been characterised also by an ‘infodemic’, meaning an overabundance of both good and bad information. This information needs to be managed effectively as it can yield valuable insights when analysed. In this paper the terms of Big Data, Geospatial Big Data and Sentiment Analysis are presented along with selected cases, from the international literature, of the use of Big Data and analytics during the COVID-19 pandemic.

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Section: Big Data and Covid-19 Related Analysismentioning

confidence: 99%