E-commerce
Data Analytics Platform
Modern Data Lake architecture with automated ETL pipelines and self-service dashboards.
← All CasesChallenge
E-commerce company with data fragmented across multiple systems, decisions based on intuition rather than data, and inability to forecast demand or identify cross-sell opportunities.
Solution
Modern Data Lake architecture with automated ETL pipelines, integrated data quality, and self-service dashboards for different business areas. Machine learning models for demand forecasting and product recommendation.
Results
- ✓Data-driven decisions across all areas
- ✓Real-time behavioral insights
- ✓High-accuracy demand forecasting
- ✓Self-service analytics for business
Technologies
Tools and Platforms
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