Astellas Pharma accelerates clinical trial insights with unified data platform
Astellas Pharma, a Tokyo-based global pharmaceutical company, aimed to modernize and streamline its R&D data processing to enhance clinical trial outcomes. Historically, manual data curation from multiple disconnected sources delayed key insights and decision-making across its portfolio of trials. In partnership with PwC and Microsoft, Astellas developed an integrated data platform on Microsoft Azure, harmonizing data from 48 disparate source systems into a central, real-time repository. This transformation empowered stakeholders with self-serve dashboards, instant customizable reporting, and advanced analytics, significantly speeding up processes previously taking months. Executives gained an improved ability to detect issues like low participant recruitment or study delays, and quickly act on these insights. The scalable Azure-based solution delivered new operational efficiencies and now supports predictive and prescriptive analytics capabilities to further optimize clinical operations and patient outcomes. Astellas initiated the project to address outdated, manual, and error-prone data curation in clinical trials. Disparate, siloed internal and external data systems made important insights slow to surface. By working with PwC and Microsoft, Astellas brought 48 independent data sources together into one dependable platform for actionable insights and real-time analytics, fundamentally transforming its R&D oversight process.
- Organization
- Astellas Pharma
- Industry
- Pharma
- Location
- Japan
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Automated Data Consolidation for Clinical Trials
- 2Real-Time Clinical Trial Insights Platform
- 3Self-Serve Analytics in Pharmaceutical R&D
- Manual data collection from 48 independent source systems delayed insights in clinical trials.
- Risk of critical information being missed, such as participant recruitment issues or trial delays.
- Time-consuming processes hampered the ability to take quick, effective action on trial data.
- Disparate and unintegrated data increased errors and operational costs.
- Analysts spent extensive time curating and cleaning data rather than generating value.
- Partnered with PwC and Microsoft to design and deploy a central integrated platform on Microsoft Azure.
- Automated consolidation of 48 internal and partner data systems into a real-time repository.
- Enabled self-serve reporting and customizable dashboards for researchers and executives.
- Deployed scalable analytics, including support for predictive and prescriptive algorithms.
- Utilized cloud infrastructure to enable rapid rollout of new features and analytics modules.
- Reduced time to insight from months to real-time across clinical operations.
- Improved executive oversight of bottlenecks like low participant recruitment or delays.
- Increased efficiency through automation, reducing manual workload for analysts.
- Improved clinical trial outcomes with timely, actionable insights.
- Scalable platform to support advanced analytics and future growth.
Architecture
The integrated solution consolidated 48 independent data sources from internal and external systems into a single, cloud-based repository built on Microsoft Azure. Automated ETL processes gather and harmonize data, with self-serve dashboards and analytics made available for various stakeholders. Azure's cloud environment allows real-time data access, supports advanced analytics modules, and provides scalability for future expansion.
Implementation partners1
Sources & evidence1
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