Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/104626
Title: How business leaders are leveraging big data during the COVID-19 pandemic
Authors: Conti, Neve (2022)
Keywords: Business enterprises -- Malta
Big data -- Malta
COVID-19 Pandemic, 2020-2023 -- Malta
Issue Date: 2022
Citation: Conti, N. (2022). How business leaders are leveraging big data during the COVID-19 pandemic (Bachelor's dissertation).
Abstract: This dissertation will delve into the usage of data by companies in different industries during the COVID-19 pandemic. Without a doubt, this pandemic has brought forward the strive in digitalisation. Humans could not interact and were possibly restricted from doing their usual business operations, so they had to rely on technology mostly. Data was a main pillar in this strive and different industries made maximum use of both their data and external data in their business strategies or to reach their business objectives during the tough pandemic times. This study aims also to highlight different methods where big data was leveraged during the pandemic in different industries. Adding to this, this research will also shed light on challenges and realisations in the data sphere that were brought forward during the pandemic. Finally, this dissertation will express different perspectives when it comes to the future of big data and discusses whether there is ever going to be an endpoint in the data world. The author will aim to interview different business leaders, CTO’s and CIO’s within different industries to discuss how they leveraged their data during the pandemic and get a broad local perception to build a qualitative discussion.
Description: B.Sc. IT (Hons)(Melit.)
URI: https://www.um.edu.mt/library/oar/handle/123456789/104626
Appears in Collections:Dissertations - FacEma - 2022
Dissertations - FacEMAMAn - 2022

Files in This Item:
File Description SizeFormat 
22BSCBIT009.pdf
  Restricted Access
1.3 MBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.