About the client

Our customer is a global pioneer in pharmaceuticals and diagnostics and a leader in personalized healthcare. They are world's largest biotech company, with differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Our customer specializes in in-vitro diagnostics, tissue-based cancer diagnostics and is a frontrunner in diabetes management. They focus on advancing science to improve human life and continues to search for better ways to prevent, diagnose and treat diseases. They also aim to improve patient access to medical innovations through collaboration with suitable stakeholders.

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Global Locations

Certified Cloud Architects

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Years of Cloud Experience

Cloud Transformations

Business Challenge

Our client required a highly scalable, secure and compliant data analytics platform in cloud that can process and store data in petabytes. They wanted to perform data analytics and execute ML/AI algorithm on the data sets. Our client chose SecureKloud, as we are AWS premier partner with deep expertise in Big Data analytics & Data Science (ML/AI), and have necessary expertise to deploy the data analytics platform to meet HIPAA and GxP compliance.

Our Solution

With the help of infrastructure automation and application code, SecureKloud developed a highly scalable, secure and compliant data analytics platform solution in AWS called DataEZ. SecureKloud's DataEZ solution was customized and deployed for our client to meet their requirements.

Business Benefits

SecureKloud's customized data analytics platform had a huge success since its initial deployment and the client had deployed ten other clones of this platform for various other business units within the organization. Following were the benefits achieved by our client.

  • Customized data analytics platform made available within 8 weeks
  • Highly scalable data analytics platform to analyze EHR, imaging, digital health and genomics data
  • The platform was able to ingest a petabyte of data within 3 months which paved way for new capabilities of conducting advanced research
  • Able to provide further personalized healthcare, through data science and analytics

Stay compliant while scaling analytics with DataEZ!