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Balancing Customer Personalization and Data Privacy using Advanced Analytics

Year: 2024
Type: article
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.
Authors: Jafrin, Reza, Lisbeth, Merrett, Md Sultanul Arefin, Sourav, Md Shakil, Islam
Institution: Trine University
Language: English
Open Access status: green
OpenAlex ID: W7045378113
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