Solution Overview
Detailed Workflow
Impact and Measured Benefits
Key Takeaways for Life Sciences Organizations
Solution Overview
To meet regulatory, performance, and collaboration needs, we designed and deployed a Cloud-Based Research Data Platform tailored for the life sciences sector.
Key Features Implemented:
- Hybrid Cloud Infrastructure:Deployed a secure, compliant AWS + Azure environment with automated failover.
- Data Governance Framework:Introduced role-based access control (RBAC), encryption at rest/in transit, and activity logging.
- Automated Data Ingestion Pipelines:Seamlessly moved raw genomic data from sequencers into cloud storage with metadata tagging.
- Interactive BI Dashboards:Built real-time analytics for variant detection, clinical trial metrics, and collaboration KPIs.
- Compliance and Certification:Achieved ISO 27001 alignment, with policies mapped to HIPAA, GDPR, and FDA 21 CFR Part 11.
- Global Research Hub Connectivity:Enabled four international teams to work off the same datasets without duplication.
Detailed Workflow
| Step | Before Cloud Platform | After Cloud Platform |
|---|---|---|
| Data Storage | On-premise servers with limited capacity | Secure AWS + Azure hybrid cloud |
| Data Analysis | Local compute nodes | Elastic cloud compute clusters |
| Collaboration | Isolated research hubs | Unified global workspace with dashboards |
Impact and Measured Benefits
- Data Retrieval in Minutes– Previously hours, now almost real-time thanks to cloud-optimized pipelines.
- Global Collaboration Enabled– 4 research hubs can collaborate simultaneously with secure access.
- ISO 27001 Data Security Certification– Industry-standard controls achieved and maintained.
- Enhanced Research Insights– Self-service dashboards empower scientists with immediate, data-driven answers.
- Elastic Scalability– Compute and storage scale automatically as projects grow.
Key Takeaways for Life Sciences Organizations
- Hybrid Cloud as a Strategic Asset:Mix of AWS + Azure ensures flexibility and vendor neutrality.
- Data Governance First:Compliance frameworks (ISO 27001, HIPAA, GDPR) built into the design, not bolted on.
- Empowering Researchers:Real-time dashboards accelerate innovation and reduce bottlenecks.
- Future-Ready Architecture: Platform can integrate with AI/ML pipelines for predictive modeling and drug discovery.
Solution Overview
Solution Overview
To meet regulatory, performance, and collaboration needs, we designed and deployed a Cloud-Based Research Data Platform tailored for the life sciences sector.
Key Features Implemented:
- Hybrid Cloud Infrastructure:Deployed a secure, compliant AWS + Azure environment with automated failover.
- Data Governance Framework:Introduced role-based access control (RBAC), encryption at rest/in transit, and activity logging.
- Automated Data Ingestion Pipelines:Seamlessly moved raw genomic data from sequencers into cloud storage with metadata tagging.
- Interactive BI Dashboards:Built real-time analytics for variant detection, clinical trial metrics, and collaboration KPIs.
- Compliance and Certification:Achieved ISO 27001 alignment, with policies mapped to HIPAA, GDPR, and FDA 21 CFR Part 11.
- Global Research Hub Connectivity:Enabled four international teams to work off the same datasets without duplication.
Detailed Workflow
Detailed Workflow
| Step | Before Cloud Platform | After Cloud Platform |
|---|---|---|
| Step | Before Cloud Platform | After Cloud Platform |
| Data Storage | On-premise servers with limited capacity | Secure AWS + Azure hybrid cloud |
| Data Analysis | Local compute nodes | Elastic cloud compute clusters |
| Collaboration | Isolated research hubs | Unified global workspace with dashboards |
Impact and Measured Benefits
Impact and Measured Benefits
- Data Retrieval in Minutes– Previously hours, now almost real-time thanks to cloud-optimized pipelines.
- Global Collaboration Enabled– 4 research hubs can collaborate simultaneously with secure access.
- ISO 27001 Data Security Certification– Industry-standard controls achieved and maintained.
- Enhanced Research Insights– Self-service dashboards empower scientists with immediate, data-driven answers.
- Elastic Scalability– Compute and storage scale automatically as projects grow.
Key Takeaways for Life Sciences Organizations
Key Takeaways for Life Sciences Organizations
- Hybrid Cloud as a Strategic Asset:Mix of AWS + Azure ensures flexibility and vendor neutrality.
- Data Governance First:Compliance frameworks (ISO 27001, HIPAA, GDPR) built into the design, not bolted on.
- Empowering Researchers:Real-time dashboards accelerate innovation and reduce bottlenecks.
- Future-Ready Architecture: Platform can integrate with AI/ML pipelines for predictive modeling and drug discovery.
