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Data Analytics and Predictive Analytics: How Technology Fits into the Equation

In: Digital Transformation in Business and Society

Author

Listed:
  • Brian J. Galli

    (Long Island University)

  • Gabrielle Muniz

    (Long Island University)

Abstract

The purpose of this research is to inform readers about data analytics and predictive analytics through their various applications and examples of their benefits. Technology is becoming more integrated into daily life, and the amount of data that is obtained and processed by that technology is quite robust. Most people with accounts that are connected to the Internet have their data collected by these companies. Then, they either package and sell the data or use it for marketing purposes. Also, data analytics is an integral part of artificial intelligence development. Despite predominantly being used for marketing other companies, such as healthcare, providers can use existing healthcare information to predict the development of other future complications. This field is vast and growing at a rapid rate, with more technological devices becoming commonplace. Thus, it is essential to understand the benefits and drawbacks of this technology, as it will be an integral aspect of life in the coming years.

Suggested Citation

  • Brian J. Galli & Gabrielle Muniz, 2020. "Data Analytics and Predictive Analytics: How Technology Fits into the Equation," Springer Books, in: Babu George & Justin Paul (ed.), Digital Transformation in Business and Society, chapter 0, pages 103-112, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-08277-2_6
    DOI: 10.1007/978-3-030-08277-2_6
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