Balancing Customer Personalization and Data Privacy using Advanced Analytics

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.

Publication Details

Journal
Umsida Repository (Universitas Muhammadiyah Sidoarjo)
Published
2024-12-01
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
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article

Balancing Customer Personalization and Data Privacy using Advanced Analytics

Umsida Repository (Universitas Muhammadiyah Sidoarjo)
Magnetic confinement fusion research
article

Balancing Customer Personalization and Data Privacy using Advanced Analytics

article en

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.

Umsida Repository (Universitas Muhammadiyah Sidoarjo)
Openalex Percentile: Top 84%
Magnetic confinement fusion research
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Balancing Customer Personalization and Data Privacy using Advanced Analytics · Umsida Repository (Universitas Muhammadiyah Sidoarjo) (2024) | TGRS Research Map | TGRS