About the client
The client is a multinational pharmaceutical company based in India, operating in the manufacturing and sale of APIs and pharmaceutical formulations in India and the US. With a strong global presence and multiple acquisitions, the client is one of India’s most reputed pharma brands.
Client's Challenges
Fragmented Data & Reporting Delays:
Struggled to analyze structured and unstructured data efficiently across legacy systems.
High System Costs:
Wanted to shift from expensive legacy infrastructure to an open-source, cost-effective platform.
Lack of AI/ML Readiness:
Needed a scalable infrastructure for future advanced analytics, IoT, and ML initiatives.
Aptus Data Labs’ Strategic, Value-Added Approach
Aptus Data Labs architected and implemented a robust distributed data lake on AWS with scalable storage and advanced analytics capability. The multi-phase delivery included:
- Enterprise Data Lake Architecture: Designed for scalable warehousing, IoT, and unstructured data ingestion.
- AWS Cost Optimization: Leveraged TCO and pricing tools to reduce infrastructure costs.
- ML & BI Readiness: Enabled connectivity from R/Python, migrated dashboards, and built AI-friendly architecture.
- Open Source Integration: Transitioned from legacy systems to PostgreSQL, Superset, and other open tools.
