US Consumer Goods Retailer Enhanced Pricing Excellence and Customer Insights Through Azure Data Lake Modernization

Challenges

The client faced several data ecosystem limitations:

• Legacy systems restricting advanced analytics and real-time insights.
• Fragmented data sources resulting in inefficient data processing.
• Lack of standardized governance leading to poor data quality.
• Need to boost pricing excellence, new sales, and customer retention through actionable insights.

Solution

Coforge delivered a next-generation Azure Data Lake solution integrated with advanced analytics and governance frameworks:

• Conducted a detailed assessment of the existing data landscape to identify gaps and define the desired capabilities.
• Proposed and implemented a target-state Azure Data Lake architecture for scalability and modernization.
• Built Customer Analytics and Cross-sell/Up-sell models to drive personalized product recommendations.
• Defined a data modernization and monetization roadmap, aligning with business goals.
• Established a scalable Azure-based platform for data ingestion, management, and analytics leveraging Coforge accelerators.
• Developed an MVP for pricing excellence and a KPI library for Retail & Manufacturing.
• Strengthened data governance and quality frameworks using best practices and Coforge’s “IngestXpress” and “DQXpress” accelerators.

The Impact

• Achieved 30–40% faster time-to-market for platform build through accelerator-based implementation.
• Built a robust Data Quality and Governance framework, ensuring platform reliability and adoption.
• Delivered a use case-driven roadmap enabling incremental business benefits.
• Created prescriptive points of view (POVs) for cloud standards, tools, and best practices.
• Established a future-ready Azure Data Lake architecture aligned with industry-leading benchmarks.