Big Data Computing and Analytics Business Value in - E-Commerce
M. Gandhimathi1
Section:Survey Paper, Product Type: Journal Paper
Volume-07 ,
Issue-08 , Page no. 104-107, Apr-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7si8.104107
Online published on Apr 10, 2019
Copyright © M. Gandhimathi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: M. Gandhimathi, “Big Data Computing and Analytics Business Value in - E-Commerce,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.08, pp.104-107, 2019.
MLA Style Citation: M. Gandhimathi "Big Data Computing and Analytics Business Value in - E-Commerce." International Journal of Computer Sciences and Engineering 07.08 (2019): 104-107.
APA Style Citation: M. Gandhimathi, (2019). Big Data Computing and Analytics Business Value in - E-Commerce. International Journal of Computer Sciences and Engineering, 07(08), 104-107.
BibTex Style Citation:
@article{Gandhimathi_2019,
author = {M. Gandhimathi},
title = {Big Data Computing and Analytics Business Value in - E-Commerce},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {07},
Issue = {08},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {104-107},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=927},
doi = {https://doi.org/10.26438/ijcse/v7i8.104107}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i8.104107}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=927
TI - Big Data Computing and Analytics Business Value in - E-Commerce
T2 - International Journal of Computer Sciences and Engineering
AU - M. Gandhimathi
PY - 2019
DA - 2019/04/10
PB - IJCSE, Indore, INDIA
SP - 104-107
IS - 08
VL - 07
SN - 2347-2693
ER -
Abstract
Big data is continuously creating new challenges and opportunities, all of which have been forged by the information revolution. The ecommerce industry are already using data sets to introduce a new level of strategic marketing and provide better customer service experiences .Data growth has undergone a renaissance, by ever lower computing power in the internet. It will be top method shift in the E-commerce sector; as data is no longer seen as by the product of their business activities, but as their biggest trademark providing: the needs of their customers, predicting trends in customer’s behavior, democratizing of advertisement to suits consumers varied taste, as well as providing a performance metric to assess the effectiveness in meeting customers’ needs. This paper provides the unique features that differentiate big data from traditional datasets. In this way the application of big data analytics in the E-commerce and its technologies that make analytics of consumer data possible is discussed. Improvement of technology usage, the methods to measure and collect data also increase. One of the methodsto understand our world is to study trends in behavior.
Key-Words / Index Term
Big Data Analytics, Computing
References
[1]. http://www.harapartners.com/blog/big-data-affect-our-daily-e-commerce-experience
[2]. Yaser Ahangari Nanehkaran, An Introduction To Electronic Commerce, International Journal Of Scientific & Technology Research Volume 2, Issue 4, April 2013,Pg190-193
[3]. http://ecommerce.about.com/od/eCommerce-Basics/tp/Advantages-Of-Ecommerce.html
[4]. http://www.tutorialspoint.com/e_commerce/e_ commerce_advantages.htm
[5]. Assuncoa, M.D. et al., 2013. Big Data Computing and Clouds: Challenges, Solutions, and Future Directions. arXiv, 1(1), pp.1-39.
[6]. Chalmers, S., Bothorel, C. & CLEMENTE, R., 2013. Big Data-State of the Art. Thesis. Brest: Telecom Bretagne, Institute Mines-Telecom