International Journal of Intelligent Information Systems

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Digital Transformation in the Era of Big Data and Cloud Computing

Received: Jun. 23, 2020    Accepted: Jul. 13, 2020    Published: Jul. 30, 2020
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Abstract

Digital transformation is the application of innovative digital technology to fundamentally change the model of how business operates, and the way technology is delivered to support the overall business. The evolution of digital transformation has taken place in different stages, from automation to radical shifts of business models via disruptive technologies of modern times. The emergence of Big Data and cloud computing has fundamentally changed the paradigm of computing in data transformation and delivery. Mountains of data of huge volume, velocity, and variety are converted into actionable intelligence that can be delivered in real-time on demand, anywhere and anytime around the globe. This paper examines the technology drivers for digital transformation that include Big Data, advanced analytics and artificial intelligence under an integrated cloud platform that provides ubiquitous on-demand services to modern enterprises driven by knowledge and relationship. Data from different sources are transformed into actionable intelligence via traditional and Big Data analytic platforms. It is distributed via an everything-as-a-service model to a community that consists of organizations, people, things and systems, anywhere and anytime around the globe. Analysis of business cases points to the importance of investing in digital transformation as illustrated by the success and failure of companies coping with the recent coronavirus pandemic. This paper provides an architecture that serves as a roadmap for the digital transformation of modern-day business enterprises.

DOI 10.11648/j.ijiis.20200903.11
Published in International Journal of Intelligent Information Systems ( Volume 9, Issue 3, June 2020 )
Page(s) 16-23
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Digital Transformation, Big Data, Cloud Computing, Analytics, Artificial Intelligence

References
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Cite This Article
  • APA Style

    Joseph On-Piu Chan. (2020). Digital Transformation in the Era of Big Data and Cloud Computing. International Journal of Intelligent Information Systems, 9(3), 16-23. https://doi.org/10.11648/j.ijiis.20200903.11

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    ACS Style

    Joseph On-Piu Chan. Digital Transformation in the Era of Big Data and Cloud Computing. Int. J. Intell. Inf. Syst. 2020, 9(3), 16-23. doi: 10.11648/j.ijiis.20200903.11

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    AMA Style

    Joseph On-Piu Chan. Digital Transformation in the Era of Big Data and Cloud Computing. Int J Intell Inf Syst. 2020;9(3):16-23. doi: 10.11648/j.ijiis.20200903.11

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  • @article{10.11648/j.ijiis.20200903.11,
      author = {Joseph On-Piu Chan},
      title = {Digital Transformation in the Era of Big Data and Cloud Computing},
      journal = {International Journal of Intelligent Information Systems},
      volume = {9},
      number = {3},
      pages = {16-23},
      doi = {10.11648/j.ijiis.20200903.11},
      url = {https://doi.org/10.11648/j.ijiis.20200903.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijiis.20200903.11},
      abstract = {Digital transformation is the application of innovative digital technology to fundamentally change the model of how business operates, and the way technology is delivered to support the overall business. The evolution of digital transformation has taken place in different stages, from automation to radical shifts of business models via disruptive technologies of modern times. The emergence of Big Data and cloud computing has fundamentally changed the paradigm of computing in data transformation and delivery. Mountains of data of huge volume, velocity, and variety are converted into actionable intelligence that can be delivered in real-time on demand, anywhere and anytime around the globe. This paper examines the technology drivers for digital transformation that include Big Data, advanced analytics and artificial intelligence under an integrated cloud platform that provides ubiquitous on-demand services to modern enterprises driven by knowledge and relationship. Data from different sources are transformed into actionable intelligence via traditional and Big Data analytic platforms. It is distributed via an everything-as-a-service model to a community that consists of organizations, people, things and systems, anywhere and anytime around the globe. Analysis of business cases points to the importance of investing in digital transformation as illustrated by the success and failure of companies coping with the recent coronavirus pandemic. This paper provides an architecture that serves as a roadmap for the digital transformation of modern-day business enterprises.},
     year = {2020}
    }
    

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    AB  - Digital transformation is the application of innovative digital technology to fundamentally change the model of how business operates, and the way technology is delivered to support the overall business. The evolution of digital transformation has taken place in different stages, from automation to radical shifts of business models via disruptive technologies of modern times. The emergence of Big Data and cloud computing has fundamentally changed the paradigm of computing in data transformation and delivery. Mountains of data of huge volume, velocity, and variety are converted into actionable intelligence that can be delivered in real-time on demand, anywhere and anytime around the globe. This paper examines the technology drivers for digital transformation that include Big Data, advanced analytics and artificial intelligence under an integrated cloud platform that provides ubiquitous on-demand services to modern enterprises driven by knowledge and relationship. Data from different sources are transformed into actionable intelligence via traditional and Big Data analytic platforms. It is distributed via an everything-as-a-service model to a community that consists of organizations, people, things and systems, anywhere and anytime around the globe. Analysis of business cases points to the importance of investing in digital transformation as illustrated by the success and failure of companies coping with the recent coronavirus pandemic. This paper provides an architecture that serves as a roadmap for the digital transformation of modern-day business enterprises.
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Author Information
  • Department of Information Systems, Roosevelt University, Chicago, USA

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