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Using Big Data in Consumer Behavior Analysis: A Case Study

Author

Listed:
  • Adrian IonuÈ› MOȘESCU

    (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)

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.

Suggested Citation

  • Adrian IonuÈ› MOȘESCU & Denisa-Roxana BOTEA-MUNTEAN & Daniela MARINICÄ‚ & BrînduÈ™a BÃŽRSAN & Daniela Maria STANCIU (FRÄ‚ÈšILÄ‚) & Paul COSMOVICI & Ștefan-Claudiu CÄ‚ESCU, 2024. "Using Big Data in Consumer Behavior Analysis: A Case Study," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(4), pages 33-38, December.
    • Handle: RePEc:aes:jetimm:v:1:y:2024:i:4:p:33-38
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    References listed on IDEAS

    as
    1. Gandomi, Amir & Haider, Murtaza, 2015. "Beyond the hype: Big data concepts, methods, and analytics," International Journal of Information Management, Elsevier, vol. 35(2), pages 137-144.
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    More about this item

    Keywords

    Consumer behavior; Big data; Data analytics.;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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