Abstract—
The digital transformation enables enterprises to
mine big data for marketing intelligence on markets, customers,
products, and competitor. However, there is a lack of a
comprehensive literature review on this issue. With an aim to
support enterprises to accelerate the digital transformation and
gain competitive advantages through exploiting marketing
intelligence from big data, this paper examines the literature in
the period from 2001–2018. Consequently, 76 most relevant
articles are analyzed based on four marketing intelligence
components (Markets, Customers, Products, and Competitors)
and six data mining models (Association, Classification,
Clustering, Regression, Prediction, and Sequence Discovery).
The findings of this study indicate that the research area of
product and customer intelligence receives most research
attention. This paper also provides a roadmap to guide future
research on bridging marketing and information systems
through the application of data mining to exploit marketing
intelligence from big data.
Index Terms—
Big data analytics, data mining, literature
review, marketing intelligence.
The authors are with the Marketing and Information Systems Department,
Université du Québec à Trois-Rivières, Canada (e-mail:
nguyen.anh.khoa.dam@uqtr.ca, thang.ledinh@uqtr.ca,
william.menvielle@uqtr.ca).
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Cite: Nguyen Anh Khoa Dam, Thang Le Dinh, and William Menvielle, "
Marketing Intelligence from Data Mining Perspective — A
Literature Review," International Journal of Innovation, Management and Technology vol. 10, no. 5, pp. 184-190, 2019.