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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 3 (March 2026).... Submit articles

Big data and distributed computing: Transforming marketing through real-time customer data platforms

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  • Big data and distributed computing: Transforming marketing through real-time customer data platforms

Gowri Shankar Ravindran *

Anna University, India.

Review Article

World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 1144–1150

Article DOI: 10.30574/wjaets.2025.15.3.0962

DOI url: https://doi.org/10.30574/wjaets.2025.15.3.0962

Received on 25 April 2025; revised on 03 June 2025; accepted on 06 June 2025

Big data and distributed computing technologies transform marketing through real-time customer data platforms (CDPs). Platforms unify first-party data from diverse digital touchpoints into comprehensive customer profiles that can be activated instantly across channels. Technical foundations of CDPs include distributed computing frameworks, stream processing technologies, and identity resolution capabilities that support real-time data management at scale. Sophisticated customer segmentation and personalization technologies create relevant experiences delivered at the moment of interaction. Emerging trends highlight artificial intelligence integration, privacy-preserving computation, and engagement-focused marketing approaches while balancing personalization expectations and privacy considerations.

Customer Data Platforms; Distributed Computing; Real-Time Personalization; Marketing Analytics; Customer Experience Management

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-0962.pdf

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Gowri Shankar Ravindran. Big data and distributed computing: Transforming marketing through real-time customer data platforms. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 1144-1150. Article DOI: 10.30574/wjaets.2025.15.3.0962.

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