Biopharma Data Analytics Platform

We have successfully developed a powerful data analytics platform aimed at empowering the biopharma industry and payers. By leveraging data-driven strategies, advanced analytics, and innovative technologies, our goal was to achieve a sustainable balance between medicine pricing and patient access.

Technology Used:
  • .NET
  • Angular
  • Postgresql

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Project Synopsis

Our client approached us with a visionary goal to revolutionize the biopharma industry. They sought a cutting-edge solution that utilized data-driven strategies, analytics, and technology innovation to establish a sustainable equilibrium between medicine pricing and patient access. Thus, we created a dynamic value, price, and market access analytics platform. Our team of experts developed powerful algorithms that integrate multiple data streams, providing unique insights into the complete market access journey. The platform aims to offer invaluable perspectives and empower decision-making related to market access dynamics. 

Project Requirements/ Context

On the Global Pricing Pulse platform, users can explore and analyze data related to Health Technology Assessment (HTA), reimbursement, pricing, and more. Our development team ensures that clients can consume the data with accuracy, enabling them to secure the best possible deals in the market.

Key challenges

Key Challenges

Key Challenge  Solution
Platform Optimization We optimized the platform by managing the memory consumption of the unused object and classes. We implemented the best coding practices to ensure API takes less time as the platform deals with extensive data.
Security  We shifted the platform from docker to Kubernetes to ensure our API doesn’t receive malware requests from the outside world. Hence increasing the security and robustness of the application. 

Solution Implementation

Our team of experts overcame all the challenges seamlessly, ensuring a smooth transition and maximum utilization of the platform’s robust features. 

  • Architecture

The development process involved using .Net Entity Framework and the CQRS Pattern to maintain a mediator between our database calls. Additionally, we leveraged Azure Functions to run specific helper functions developed using .NET and C#.

Results

With a data analytics platform, users gain access to a comprehensive suite of analytics and insights that deeply understand the market access landscape. Our powerful algorithms combine multiple data streams, delivering unique and valuable insights into pricing, value, and market dynamics. Stay ahead of the competition and make informed decisions with our data analytics platform.

Biopharma Data Analytics Platform
Biopharma Data Analytics Platform
Biopharma Data Analytics Platform