Big Data Analytics and Consumer Privacy: An Indian Perspective

The rapid expansion of big data analytics has transformed marketing strategies in India, enabling businesses to generate nuanced consumer insights and deliver personalized experiences. However, these advances raise pressing concerns about consumer privacy, particularly in a market where digital adoption has accelerated but regulatory frameworks remain nascent. This study examines the interplay between data-driven marketing practices and consumer privacy rights in the Indian context. Drawing on policy analysis, industry practices, and consumer perceptions, the paper highlights the tensions between firms’ drive for personalization and the ethical, legal, and social imperatives of safeguarding individual privacy. It critically evaluates India’s evolving regulatory landscape, including the implications of the Digital Personal Data Protection Act, while contextualizing it against global standards such as the GDPR. The findings suggest that a sustainable balance requires not only compliance-driven data governance but also organizational accountability, consumer awareness, and culturally attuned frameworks that respect privacy as a fundamental right. By articulating both the opportunities and risks of big data marketing in India, this research contributes to the ongoing discourse on reconciling business innovation with robust privacy protections in a rapidly digitizing society.

Publication Details

Journal
International Journal of Education Modern Management Applied Science & Social Science
Published
2025-06-30
DOI
https://doi.org/10.62823/ijemmasss/7.2(iv).7973
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Big Data Analytics and Consumer Privacy: An Indian Perspective

International Journal of Education Modern Management Applied Science & Social Science
Privacy, Security, and Data Protection
article

Big Data Analytics and Consumer Privacy: An Indian Perspective

article en

Abstract

The rapid expansion of big data analytics has transformed marketing strategies in India, enabling businesses to generate nuanced consumer insights and deliver personalized experiences. However, these advances raise pressing concerns about consumer privacy, particularly in a market where digital adoption has accelerated but regulatory frameworks remain nascent. This study examines the interplay between data-driven marketing practices and consumer privacy rights in the Indian context. Drawing on policy analysis, industry practices, and consumer perceptions, the paper highlights the tensions between firms’ drive for personalization and the ethical, legal, and social imperatives of safeguarding individual privacy. It critically evaluates India’s evolving regulatory landscape, including the implications of the Digital Personal Data Protection Act, while contextualizing it against global standards such as the GDPR. The findings suggest that a sustainable balance requires not only compliance-driven data governance but also organizational accountability, consumer awareness, and culturally attuned frameworks that respect privacy as a fundamental right. By articulating both the opportunities and risks of big data marketing in India, this research contributes to the ongoing discourse on reconciling business innovation with robust privacy protections in a rapidly digitizing society.

International Journal of Education Modern Management Applied Science & Social ScienceVol. 07(02(IV))
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Privacy, Security, and Data Protection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.