Vol. 3 No. 2 (2023): Journal of Machine Learning for Healthcare Decision Support
Articles

Leveraging Big Data Customer Analytics for Enhanced Customer Insights and Engagement: A Case Study Approach

Kirthivasan Pandurangan
Solution Architect, Tata Consulting Services, USA
Jeshwanth Reddy Machireddy
Senior Software Developer, KForce, USA
Cover

Published 12-10-2023

Keywords

  • Big data analytics,
  • Customer insights,
  • Customer engagement,
  • Data-driven strategies

How to Cite

[1]
K. Pandurangan and J. R. Machireddy, “Leveraging Big Data Customer Analytics for Enhanced Customer Insights and Engagement: A Case Study Approach”, Journal of Machine Learning for Healthcare Decision Support, vol. 3, no. 2, pp. 1–13, Oct. 2023, Accessed: Jan. 22, 2025. [Online]. Available: https://medlines.uk/index.php/JMLHDS/article/view/13

Abstract

This paper delves into the realm of big data customer analytics, employing a case study approach to investigate its utilization for acquiring profound insights into customer behavior, preferences, and trends. It explores diverse industries within the framework of Industry 4.0, elucidating strategies to amplify customer engagement, loyalty, and satisfaction. Through an examination of real-world scenarios, the paper highlights the transformative potential of leveraging big data analytics in understanding and enhancing customer relationships.

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