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RETAIL
- ActiveInsightsBuild the profiles combining in-store, e‑commerce, loyalty, and third-party data.
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Retail
A retailer with thousands of franchise locations modernized their data ecosystem to enable critical data analytics use cases.
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HEALTH & WELLNESS
- EZConvertETLTransforming healthcare data pipeline by enabling patient data integration
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Healthcare
A leading healthcare RCM company modernized its data governance to enhance security, streamline access, and boost efficiency.
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MANUFACTURING
- EZForecastGet Insights into supply chain dynamics and predict production back-log
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Manufacturing
Discover how Vyaire Medical uses Amazon QuickSight for real-time global sales and forecasting insights, boosting production efficiency.
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FINANCIAL SERVICES
- EZConvertBIAutomate BI asset migration from legacy platforms to modern cloud-native tools.
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Financial Services
A major insurer modernized its operations by implementing a cloud-based data strategy, enabling faster reporting, improved scalability, and better regulatory compliance.
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- Databricks
- Databricks Unity Catalog
Retail Enterprise Advances eCommerce and Loyalty Analytics Modernization on Google Cloud
How a global retail enterprise is transforming trusted customer data into personalized experiences that drive revenue, loyalty, and margin.
Executive summary
A global retail enterprise operating across more than 30 countries began modernizing its e-commerce and loyalty intelligence ecosystem as part of a broader migration from Azure to Google Cloud Platform (GCP). The organization needed to migrate workloads without disrupting analytics operations while maintaining governance, security, data integrity, and regional compliance requirements across multiple environments.
This case study explores how Wavicle is helping establish a trusted and governed data foundation for smarter retail growth.
Client profile
The client is a multinational retail enterprise with operations in 30+ countries and a large-scale eCommerce and loyalty ecosystem spanning digital and in-store channels.
Business problem
Modern retail experiences depend on connecting customer interactions across ecommerce, loyalty, mobile, and in-store channels.
However, the retailer faced several challenges that limited personalization and operational efficiency:
- Fragmented data across channels and platforms
- Broad promotions with limited targeting precision
- Loyalty programs lacking behavioral intelligence
- Limited visibility into customer engagement and buying patterns
- Rising operational costs within the existing analytics environment
As part of its modernization strategy, the retailer decided to migrate from Azure to GCP to improve scalability and support AI-driven initiatives. However, the migration introduced additional concerns around governance, data integrity, security controls, and GDPR compliance while multiple environments operated in parallel.
The organization engaged Wavicle to reduce migration risk and establish a structured governance and validation framework for long-term analytics modernization.
Wavicle solution
Wavicle is helping modernize the retailer’s analytics ecosystem by migrating ecommerce and loyalty workloads from Azure to GCP while establishing a scalable and governed Lakehouse foundation.
Lakehouse architecture design and validation
Wavicle is designing and validating a scalable Lakehouse architecture on GCP to support marketing behavioral analysis, promotion forecasting, customer personalization, enterprise reporting, and machine learning workloads.
Governance framework implementation
Using Databricks Unity Catalog, Wavicle is implementing centralized governance capabilities including data lineage tracking, schema enforcement, row-level and column-level security, data masking, and Zero-Trust security controls to support regional compliance requirements across more than 30 countries.
Cloud platform setup and migration readiness
Wavicle is validating the target GCP platform built using Google Cloud Storage, Google Storage Transfer Service, Databricks, and Google Kubernetes Engine (GKE) to ensure workload stability and migration readiness.
Data validation framework development
To maintain consistency during migration, Wavicle is developing an automated framework to verify data consistency between Azure and GCP throughout the migration.
Technology stack
- Google Cloud Platform (GCP)
- Google Kubernetes Engine (GKE)
- Google Storage Transfer Service
- Databricks
- Databricks Unity Catalog
Results
The modernization initiative is establishing the foundation for a more intelligent and connected retail ecosystem.
- Seamless access to trusted, governed data on GCP for eCommerce and loyalty applications
- Support for AI-driven personalization, marketing behavioral analysis, and promotion forecasting
- Maintain governance, security, and data integrity across Azure and GCP during migration
- Meet local compliance and GDPR requirements supported across multiple countries
Conclusion
The partnership between Wavicle and the global retail enterprise highlights the importance of trusted and connected customer intelligence in modern retail transformation.
By modernizing ecommerce and loyalty analytics on GCP, Wavicle is helping the organization establish a scalable foundation for AI-driven personalization, smarter marketing decisions, and long-term retail growth.
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