Business Impacts
Accelerated R&D operational processes
Migrated and stored 9+ petabytes of data
Customer Key Facts
- Location : Europe
- Industry : Pharmaceuticals & Life Sciences
Problem Context
The collection and storage of radiology data is often a laborious and manual task for organizations with several data sources and a lack of infrastructure. Such a process is time-consuming and may fail to uncover insights that have useful business implications. Additionally, organizations that do not have proper data analytics systems in place experience difficulty in harmonizing multi-source data and running a unified set of analytics across the data sets.
Challenges
- Large datasets
- Compatibility of ETL tools with customs scripts
- Authentication challenges for pulling and pushing data into data lake
- Maintaining Data integrity
Technologies Used
Cloud Dataflow
Google's BigQuery
Cloud Dataproc
Cloud ML
Cloud Pub/Sub
Cloud Datastore
Cloud Storage
Cloud Functions
Tableau
Google Data Studio
Digital Transformation of Radiology Data Ecosystem
The customer, one of the largest multinational pharmaceutical and life sciences companies wanted to build a long-term system for storing, curating, and sharing medical images and patient healthcare information curated from multiple sources and leverage this data lake to work on cutting-edge machine learning and analytics solutions in the healthcare domain.
Solution
Leveraging Google’s HIPAA compliant products, like Healthcare API, Cloud Dataflow, and BigQuery, Quantiphi built robust radiology data lake with a customized and integrated DICOM viewer and annotation tool for day-to-day access and analysis. This brought everyday radiology workflows onto a scalable and flexible platform driving collaboration, growth, and innovation; thus, helping the organization to unlock vital insights from radiology data.
Results
- Improved data quality
- Democratized data for faster, better decision-making
- Flexible user management
