Research Article

Unified Customer Data Hub: Transforming Business Intelligence with AI-Driven Insights

Authors

  • Nishanth Kumar Reddy Kesavareddi Murray State University, USA

Abstract

The Unified Customer Data Hub marks a genuine turning point in how businesses handle enterprise information, tackling head-on the everyday struggles companies face when trying to maintain accurate, readily available customer details across scattered systems. Built atop Microsoft Dataverse, this article creates a central storehouse where customer information becomes harmonized, properly formatted, and enriched throughout the connected technology landscape. A closer look reveals the thoughtful architecture supporting modern customer information management, with robust synchronization mechanisms powered by Microsoft Power Automate that keep data consistent across various platforms. Sophisticated artificial intelligence tools transform gathered information into practical business insights through forward-looking analysis and clear visual dashboards. Thoughtfully crafted security measures and compliance safeguards protect sensitive details while maintaining necessary access through job-specific permissions, automatic rule enforcement, regulatory compliance tools, and comprehensive tracking capabilities. Real-world research across numerous industries documents meaningful business benefits gained through unified customer information environments - from smarter strategic planning and personalized customer experiences to streamlined daily operations and measurable revenue gains. Actual implementation stories demonstrate how organizations achieve concrete performance improvements when customer data flows smoothly between previously disconnected systems.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (7)

Pages

271-276

Published

2025-07-03

How to Cite

Nishanth Kumar Reddy Kesavareddi. (2025). Unified Customer Data Hub: Transforming Business Intelligence with AI-Driven Insights. Journal of Computer Science and Technology Studies, 7(7), 271-276. https://doi.org/10.32996/jcsts.2025.7.7.28

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Keywords:

Data Integration, Artificial Intelligence, Customer Analytics, Business Intelligence, Regulatory Compliance