Balancing Customer Personalization and Data Privacy using Advanced Analytics

Jafrin, Reza and Lisbeth, Merrett and Md Sultanul Arefin, Sourav and Md Shakil, Islam (2024) Balancing Customer Personalization and Data Privacy using Advanced Analytics. American Journal of Economics and Business Management, 7 (12). pp. 1380-1384. ISSN 2576-5973

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Abstract

Customer personalization has become a critical strategy for businesses to enhance customer experience and loyalty. However, the increasing reliance on advanced analytics to deliver tailored services has raised significant concerns regarding data privacy. This paper explores the tension between personalization and privacy, offering a comprehensive analysis of how advanced analytics can balance these objectives. It examines regulatory frameworks, ethical considerations, and technological innovations that enable businesses to deliver personalized services while safeguarding customer data. The findings underscore the importance of transparency, consent, and privacy-preserving technologies in achieving this balance.

Item Type:	Article
Subjects:	Q Science > Q Science (General)
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	01 Jan 2025 05:31
Last Modified:	01 Jan 2025 05:31
URI:	http://eprints.umsida.ac.id/id/eprint/15047

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