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Data Platform Modernization
From fragmented data silos to a unified, AI-ready analytics platform
The Challenge
The client's data was spread across multiple systems with no single source of truth. Reports took days to generate, data quality was poor, and there was no foundation for advanced analytics or AI use cases.
Our Solution
We built a modern data platform on a Lakehouse architecture, consolidating data from 12 source systems. Automated pipelines ensure data freshness, quality checks catch issues before they reach dashboards, and the platform is ready for ML/GenAI workloads.
- Lakehouse architecture with medallion pattern (Bronze/Silver/Gold)
- Automated ETL pipelines from 12 source systems
- Data quality framework with automated checks and alerts
- Self-service BI dashboards with real-time KPI monitoring
Results
95%
data quality score (up from 60%)
Real-time
KPI dashboards (previously weekly)
12
data sources consolidated
4 weeks
from sprint to production platform