Using Big Data in Consumer Behavior Analysis: A Case Study

Adrian IonuÈ› Moè˜escu (), Denisa-Roxana Botea-Muntean (), Daniela Marinicä‚ (), BrînduÈ™a Bãžrsan (), Daniela Maria STANCIU (FRÄ‚ÈšILÄ‚) (), Paul Cosmovici () and Ștefan-Claudiu Cä‚escu ()
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Adrian IonuÈ› Moè˜escu: The Bucharest University of Economic Studies
Denisa-Roxana Botea-Muntean: The Bucharest University of Economic Studies
Daniela Marinicä‚: The Bucharest University of Economic Studies
BrînduÈ™a Bãžrsan: The Bucharest University of Economic Studies
Daniela Maria STANCIU (FRÄ‚ÈšILÄ‚): The Bucharest University of Economic Studies
Paul Cosmovici: The Bucharest University of Economic Studies
Ștefan-Claudiu Cä‚escu: The Bucharest University of Economic Studies

Journal of Emerging Trends in Marketing and Management, 2024, vol. 1, issue 4, 33-38

Abstract: Based on the new environment of big data, this paper expounds the connotation and characteristics of big data, and analyzes the characteristics of consumer behavior under the application background of big data analysis technology. We discuss various sources of big data, such as online interactions, social media activity, purchase history, and sensor data, emphasizing how each contributes to a deeper understanding of consumer preferences, motivations, and decision-making. In today’s fast-paced, ever-changing world, a growing number of consumers rely on online platforms for information, shopping, and banking transactions. Big Data technology enables consumers to find relevant products or information, while helping companies gain insights into customer behavior.

Keywords: Consumer behavior; Big data; Data analytics. (search for similar items in EconPapers)
JEL-codes: M31 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:aes:jetimm:v:1:y:2024:i:4:p:33-38

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