Navigating the Complexity of Customer Data Management: Integrating Big Data and AI for Effective Customer Segmentation and Targeting

Authors

  • Karl Mueller Lecturer, AI in Medicine Division, Alpen University, Munich, Germany Author

Keywords:

Customer Data Management, Big Data, Artificial Intelligence, Customer Segmentation, Targeting, Personalization, Marketing Campaigns

Abstract

This paper delves into the intricate landscape of customer data management within the context of Industry 4.0, scrutinizing the challenges and prospects therein. It elucidates the symbiotic relationship between big data and AI in fostering efficacious customer segmentation and targeting strategies, thereby enhancing marketing campaign personalization and augmenting return on investment (ROI). Through a comprehensive exploration, this study underscores the imperative of balancing these technological advancements with privacy considerations and regulatory compliance mandates. By amalgamating insights from diverse scholarly sources and real-world case studies, this paper offers a nuanced understanding of navigating the complexities inherent in contemporary customer data management practices.

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Published

10-11-2023

How to Cite

[1]
K. Mueller, “Navigating the Complexity of Customer Data Management: Integrating Big Data and AI for Effective Customer Segmentation and Targeting”, J. of Artificial Int. Research and App., vol. 3, no. 2, pp. 1–12, Nov. 2023, Accessed: Nov. 24, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/13

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