Fortune 500 Retailer Builds Unified Data Platform to Enable Real-Time Business Insights
Fortune 500 US retail enterprise operating multiple brands across e-commerce, stores, and supply chain channels
The challenge
The client’s data was spread across multiple systems (e-commerce, POS, supply chain, and finance), making it difficult to get a unified view of the business. Reports were inconsistent across teams, data pipelines were slow and unreliable, and decision-making was delayed due to lack of real-time visibility.
What Everest delivered
Everest designed and implemented a modern, cloud-based data platform to unify data across the enterprise and enable real-time analytics and reporting. The engagement included data architecture design, pipeline development, data governance setup, and BI enablement, delivered by a team of 26 data engineers, analysts, and architects over a structured rollout.
Solution components
- Unified data platform built on Snowflake and Databricks
- Scalable ETL/ELT pipelines for real-time and batch processing
- Data integration across POS, e-commerce, supply chain, and finance systems
- Data governance and quality frameworks for consistency and trust
- Self-service BI dashboards for business users and leadership
Business outcomes
- 45% reduction in report generation time
- 99.5% data accuracy across unified reporting systems
- 60% faster access to business insights for decision-making
- 35% reduction in manual data preparation efforts
- $2.8M annual savings through improved operational efficiency and reduced reporting overhead
Everest helped us turn fragmented, unreliable data into a single source of truth. Our teams now have the visibility and confidence to make faster, better decisions.