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E-commerce

Data Analytics Platform

Modern Data Lake architecture with automated ETL pipelines and self-service dashboards.

All Cases
Challenge

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

SnowflakeSnowflake
DatabricksDatabricks
Power BIPower BI
KafkaKafka
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