In the world of life sciences, time isn’t just money — it’s lives. For nearly five decades, one industry leader has been helping pharmaceutical companies get critical treatments to patients faster and more safely. With a 50+ team of experts, they’ve earned their reputation through robust consulting across Real-World Evidence, Market Access, Advanced Market Research, and HCP engagement.

But even leaders hit a point where legacy tools can no longer keep up with modern demands.

A Data Tsunami Waiting to Happen

As pharmaceutical clients pushed for faster, deeper insights — often in near real-time — this life sciences consultancy found itself facing a mounting challenge:
How do you efficiently manage and process massive, varied, and fast-growing data sources?

They needed more than a patchwork of solutions. They needed a modern, scalable foundation capable of:

• Ingesting structured and unstructured data from SFTP servers, APIs, and flat files
• Transforming and standardizing it for analytics and machine learning
• Ensuring high-quality, traceable data pipelines
• Delivering near real-time insights to support the full product lifecycle

A Future-Ready Platform Powered by Databricks

That’s when they partnered with Opinov8.

As a trusted Databricks partner, our team brought both platform expertise and a deep understanding of data architecture. We guided the client through the development of a robust, scalable platform built on Databricks and structured around the medallion architecture (bronze, silver, and gold layers).

Here’s how we made it happen:

Smart Ingestion & Transformation

We built ingestion pipelines that pulled data from multiple sources — SFTP, REST APIs, CSVs — into the bronze layer, using Databricks best practices.

Then came transformation in the silver layer, where our team applied PySpark and Delta Lake to cleanse, validate, and combine datasets.

In the gold layer, analytics-ready data was made available for dashboards, advanced market research, and machine learning.

Workflow Orchestration at Scale

We developed and deployed 100+ daily workflows, supporting both batch and streaming data needs.
Our modular approach meant that workflows could be reused and scaled across different business domains — improving both agility and maintenance.

Built-in Machine Learning

By integrating MLflow, we enabled seamless model experimentation, tracking, and deployment.
Models are now reproducible across environments, moving effortlessly from notebook to production pipeline.

Performance Built to Grow

The platform processes hundreds of gigabytes of data per day, with elasticity built in. As data volume and use cases grow, the platform scales without breaking a sweat.

Faster Insights, Better Outcomes

With their new Databricks-based platform, the client has turned a technical overhaul into a business advantage:

• Speed to insight: Near real-time data supports pre-launch readiness and post-launch performance tracking.
• Operational harmony: A unified workflow orchestration model now powers both data engineering and data science teams.
• Smarter decisions: Teams work with clean, timely data — unlocking predictive insights that drive strategy and impact patient care.

Looking Ahead: Innovation That Saves Lives

This transformation marks more than a technological leap — it’s a strategic move toward continuous innovation in a mission-critical industry. With Opinov8 and Databricks by their side, our client is well-positioned to stay ahead of market demands while keeping patients at the heart of everything they do.

In life sciences, data saves lives. And we’re proud to be building the platforms that make that possible.