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Existing ETL pipelines struggle with processing diverse clinical data sources efficiently, maintaining data quality standards, and scaling to meet growing research demands. Legacy systems require modernization to handle complex data mapping, standardization, and secure storage requirements in healthcare environments.
Healthtech scaleup specializing in real-world cancer data aggregation and analysis, established in 2011 by medical and technical experts
Accelerated clinical research capabilities through 2x faster data processing pipelines, improved data quality metrics by 60%, and enhanced scalability supporting 50% more concurrent research projects. Security enhancements will ensure full compliance with healthcare data regulations while maintaining operational efficiency.