BUILDING A SINGLE CUSTOMER VIEW: DATA ENGINEERING PRINCIPLES AND PRACTICES
DOI:
https://doi.org/10.34218/IJCET_16_01_206Keywords:
Customer Data Integration, Data Engineering Principles, Identity Resolution, Single Customer View (SCV), Real-time ProcessingAbstract
This comprehensive article explores the fundamental principles and practices of building Single Customer View (SCV) systems in modern data engineering. The article investigates the critical components, architectural frameworks, and implementation challenges organizations face when creating unified customer profiles. It analyzes the evolution of data integration strategies, quality management approaches, and real-time processing capabilities while highlighting the significance of identity resolution in maintaining accurate customer profiles. Through detailed case studies from the retail and banking sectors, the article demonstrates practical applications and achievements in SCV implementation. The article also explores emerging trends, including AI-powered solutions, edge computing integration, and decentralized data models, providing insights into the future direction of SCV systems.
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Copyright (c) 2025 Satish Kumar Boddu (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
