Five ways data is transforming health care and life sciences

Health care and life sciences organizations need a strong data architecture and advanced business intelligence tools to convert data into actionable insights.

A female medical professional working on a digital tablet

By Praveen Salitra

We live in a data-driven world, and the health care industry is no exception. According to a report by RBC Capital Markets, the health care industry is responsible for a staggering 30% of the world’s data. By 2025, the rate of data growth in health care is expected to reach 36% annually, outpacing sectors such as manufacturing, financial services, and media.

What happens to all this data? Is it stored in organized spreadsheets or in a messy data swamp? And is this data fueling valuable insights? To unleash the potential of their data, health care and life sciences organizations need a strong data architecture and advanced business intelligence tools to convert data into actionable insights.

Here are five ways Egen unleashed the power of data to drive insights and impact for a global precision medicine company:

// One

Streamlining data ingestion and connectivity

Health care data comes from various sources and partners, and consolidating this data can be daunting. Nonetheless, these comprehensive datasets are crucial for pivotal discoveries and valuable insights. Using Google Cloud Composer orchestration and Kubernetes node pools, we helped the precision medicine company onboard 50 health care partners onto a common platform. As a result, research teams and data teams can access, share and manage data securely and efficiently.

// Two

Transitioning from AWS to Google Cloud

Scalable, secure infrastructure is essential for a growing business. We helped the global life sciences company migrate from AWS to Google Cloud, automating its time-consuming manual workflows. The transition not only expedited the onboarding of health partners but also fostered collaboration and optimized cloud costs.

// Three

Implementing data observability for real-time monitoring

Timely detection of anomalies and effective data pipeline monitoring is critical to maintaining data integrity and accuracy. To help the company achieve this, we devised a data observability and error-logging solution for its messaging gateway system. This improved the quality and reliability of its data.

// Four

Creating applications for dependency management

Managing dependencies across multiple clouds takes time and effort. To tackle this, we developed a suite of platform applications that tracked dependencies, recorded changes, and simplified deployments. As a result, the global life sciences company could direct more attention to its core business operations without getting entangled in technical details.

// Five

Ensuring patient data privacy

Patient data privacy is paramount. We devised a strategy to de-identify patient data while integrating clinical and molecular data for research. With modern data architecture and a data lake, the company could securely store data in Google Cloud Storage and process it using a BigQuery data warehouse.

Unleash the power of health and life sciences data

As a premier Google Cloud partner with leading capabilities in cloud, data, AI, and platforms, Egen is uniquely positioned to unleash the power of data for health care and life sciences organizations.

To start creating new possibilities with your data, contact us today.

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