Data Analytics
Data Analytics & Engineering Services
Unlock the full potential of data with a comprehensive suite of analytics and cloud engineering solutions. Specializing in Python, R, SAS, and SQL, our team designs robust pipelines and delivers advanced analytics for organizations seeking actionable insights and regulatory-ready results. Our cross-platform expertise ensures seamless integration and agile deployment across leading cloud solutions including AWS, Azure, and Google Cloud, harnessing high-performance computing, secure data management, and scalable infrastructure for all data workloads.​
Clinical Data & CDISC Standards
With deep experience in the implementation of CDISC data standards, we offer end-to-end clinical data management solutions. Our services span SDTM, ADaM, and CDASH standardization, submission-ready dataset creation, legacy data transformation, and regulatory consulting. We empower pharmaceutical and biotech clients to achieve full regulatory compliance and faster drug development cycles, facilitating smoother FDA and global submissions while ensuring data quality and traceability at every step.​
Key Service Offerings
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Data analytics and statistical modeling with SAS, Python, and R for impactful business decisions.​
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End-to-end cloud engineering and migration leveraging Azure, AWS, and GCP to optimize scale, performance, and costs.​
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Clinical data standardization, submission support, and legacy mapping under CDISC frameworks (SDTM, ADaM, CDASH).​
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Predictive analytics, real-world evidence generation, and business intelligence via secure, compliant cloud platforms.​
Our expert-driven approach bridges analytics excellence with modern cloud technology, delivering solutions that are efficient, compliant, and future-ready for your business or clinical research needs.
