ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Product marketing improvement using big data analysis
Authors
Nima K.G , Remson P.J , Lloyd Lazar , Divya R
Keywords
Big data,Data mining, Knowledge management; Marketing decision support
Abstract
This paper present a big data technologies to helps marketing executives to more clearly define ideal customers, improve customer retention and loyalty, improved content marketing and competitor analysis to yield maximum profit. Achieve marketing data from Sales campaigns, Advertising response, Demand and price realization, Research & Product Lifecycle Management (PLM) data. Financial business forecast data and Web site browsing pattern data also play an important role in achieving data. To a large extent, big data refers to the ever-increasing data deluge in terms of volume, variety, velocity and complexity that is being generated in today’s digital eco-system. Big data sets are generated around customers based on their online purchases, web clicks, social media activities, smart connected devices, geo-location, etc. Using big data technologies and analytics methods, marketers can mine, combine and analyze both types of data in near real time.
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IJRTI — journal style
"Product marketing improvement using big data analysis", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.2, Issue 3, page no.126 - 129, March-2017, Available :https://ijrti.org/papers/IJRTI1703026.pdf
APA — 7th edition
K.G, N., P.J, R., Lazar, L., & R, D. (2017). Product marketing improvement using big data analysis. International Journal for Research Trends and Innovation, 2(3), 126 - 129. https://ijrti.org/viewpaperforall.php?paper=IJRTI1703026
MLA — 9th edition
K.G, Nima, et al. "Product marketing improvement using big data analysis." International Journal for Research Trends and Innovation, vol. 2, no. 3, 2017, pp. 126 - 129, https://ijrti.org/viewpaperforall.php?paper=IJRTI1703026.
Chicago — 17th, bibliography
K.G, Nima, et al. "Product marketing improvement using big data analysis." International Journal for Research Trends and Innovation 2, no. 3 (2017): 126 - 129. https://ijrti.org/viewpaperforall.php?paper=IJRTI1703026.
Harvard — author–date
K.G, N. et al. (2017) 'Product marketing improvement using big data analysis', International Journal for Research Trends and Innovation, 2(3), pp. 126 - 129. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1703026
IEEE — numbered reference
N. K.G, R. P.J, L. Lazar and D. R, "Product marketing improvement using big data analysis," IJRTI, vol. 2, no. 3, pp. 126 - 129, Mar. 2017.
Vancouver — biomedical
K.G N, P.J R, Lazar L, R D. Product marketing improvement using big data analysis. IJRTI. 2017 Mar;2(3):126 - 129.
AMA — 11th edition
K.G N, P.J R, Lazar L, R D. Product marketing improvement using big data analysis. IJRTI. 2017;2(3):126 - 129. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1703026
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1703026,
author = {Nima K.G and Remson P.J and Lloyd Lazar and Divya R},
title = {Product marketing improvement using big data analysis},
journal = {International Journal for Research Trends and Innovation},
volume = {2},
number = {3},
pages = {126 - 129},
year = {2017},
month = {March},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1703026}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - K.G, Nima
AU - P.J, Remson
AU - Lazar, Lloyd
AU - R, Divya
TI - Product marketing improvement using big data analysis
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 2
IS - 3
PY - 2017
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1703026
SP - 126
EP - 129
ER -
Issue
Volume 2 Issue 3,
March-2017
Pages : 126 - 129
Other Publication Details
Paper Reg. ID
IJRTI_170084
Published Paper ID
IJRTI1703026
Downloads
205,606
Research Area
Engineering
Country
Manaly,Thrissur, Kerala, India
Published
March 2017
Published Paper PDF
https://ijrti.org/papers/IJRTI1703026.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1703026
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
