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Developing and Implementing Big Data Analytics in Marketing
International Journal of Data Science and Analysis
Volume 6, Issue 6, December 2020, Pages: 183-203
Received: Oct. 30, 2020; Accepted: Nov. 11, 2020; Published: Nov. 19, 2020
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Author
Dina Darwish, Computing and Digital Technology School, ESLSCA University, Giza, Egypt
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Abstract
Big Data represents the greatest game-changing chance and change in outlook for marketing since the creation of the telephone or the Web going standard. Big Data alludes to the ever-expanding volume, velocity, variety, variability and multifaceted nature of data. Big Data is the key result of the new promoting scene, conceived from the computerized world we currently live in for marketing associations. The expression "big data" doesn't simply allude to the information itself; it additionally alludes to the difficulties, capacities and skills related with putting away and examining such gigantic data sets to help a degree of decision-making that is more precise and timely than anything recently endeavored. Because of the many benefits of big data, the big data applications have appeared, and they can play important roles especially in making companies take informative business decisions in different fields, such as, healthcare, banking, manufacturing, media and entertainment, education and transportation and many others. This paper concentrates on the importance of Big Data Analytics nowadays, especially in the marketing process inside companies, as well as challenges and obstacles facing Big Data analytics, and a case study of a bank wanting to market a new financial tool to its customers is studied using R tool.
Keywords
Big Data, Analytics, Marketing
To cite this article
Dina Darwish, Developing and Implementing Big Data Analytics in Marketing, International Journal of Data Science and Analysis. Vol. 6, No. 6, 2020, pp. 183-203. doi: 10.11648/j.ijdsa.20200606.13
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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