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Revolutionizing Manufacturing with Intelligent Data Solution

Case Study

Client Profile

Our client, a progressive Biotech company, needed a robust solution to provide insightful clinical data for their data management and clinical trials team.


Challenge

The key challenge was to integrate data from various sources, such as EDC, CTMS, Veeva, and SAS, into a unified Data Lake. Building a robust yet cost-effective data lake solution using AWS cloud-native services was the primary objective.


Solution

We designed a Clinical Lakehouse to address the challenge. Using the data mesh architecture, we constructed a resilient data lakehouse. The solution incorporated best-of-breed technologies like AWS S3, Glue, Lake Formation, Colibra, Snowflake, and Delta Lake, creating a cohesive and dynamic data environment.


Benefits

Our advanced data solution offered several critical advantages:

  • Accelerated clinical data management and data governance, enhancing the efficiency of the client's operations.
  • Minimized regulatory and compliance risks, reinforcing the client's adherence to industry standards.
  • Increased Clinical Trial efficiency, enabling the client to expedite trial processes and deliver solutions faster.
  • Reduced the clinical submission cycle time by 2-3 months, significantly increasing the client's speed to market.


Conclusion

Through our cloud engineering and data analytics expertise, we helped a leading Biotech company overcome substantial challenges, enhancing efficiency, and accelerating their clinical processes. Discover how our innovative solutions can transform your business.



Keywords: Biotech company, Clinical Lakehouse, clinical data insights, data management, clinical trials, EDC, CTMS, Veeva, SAS data, Data Lake, AWS cloud-native services, data mesh architecture, AWS S3, Glue, Lake Formation, Colibra, Snowflake, Delta Lake, clinical data management, data governance, regulatory compliance, Clinical Trial efficiency, clinical submission cycle time.

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