Building a Customer 360 data foundation for omnichannel retail

A leading retail organization transformed its fragmented data environment by implementing a modern data platform. By modernizing ingestion pipelines, harmonizing schemas, and establishing a centralized governance framework, the retailer created a unified Customer 360 data foundation capable of supporting real-time analytics and AI-driven insights. 

Instead of spending time reconciling disconnected datasets, business and analytics teams can now work from a single, trusted source of omnichannel intelligence. 

Here’s what the organization achieved: 

• Unified Customer 360 view across POS, eCommerce, and loyalty systems 
• Near real-time visibility into customer and sales performance 
• 70% reduction in manual data engineering effort 
• Improved marketing insights through behavioral analytics 
• Scalable lakehouse platform ready for AI and machine learning workloads 

Learn how retailers can connect omnichannel data, enable Customer 360 analytics, and unlock AI-driven retail innovation. 

Download the case study