Leading Biopharma Company Leverages Data Virtualization to Gain Speed, Efficiency, and Agility
Company Size
1,000+
Product
- The Denodo Platform
Tech Stack
- Data Virtualization
- Logical Data Warehouse Architecture
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Digital Expertise
- Productivity Improvements
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Pharmaceuticals
Applicable Functions
- Human Resources
- Product Research & Development
Use Cases
- Predictive Quality Analytics
- Process Control & Optimization
Services
- Data Science Services
About The Customer
The customer is a leading biopharma company that has been experiencing rapid growth. The company is always looking for ways to leverage data to improve sales, patient engagement, and treatment, across all of the company’s offerings. The company recognizes that its data scientists are sitting on a goldmine of data that could be leveraged for this purpose. The company maintains a variety of data sources including a Netezza data warehouse, a CRM in the cloud, google analytics, and other 3rd-party data sources.
The Challenge
The biopharma company was experiencing rapid growth and was looking for ways to leverage data to improve sales, patient engagement, and treatment. However, the company's extract, transform, and load (ETL) processes required a prohibitive amount of development time, especially at the transformation stage. This made it challenging and time-consuming for stakeholders to access data from the different sources, which included a Netezza data warehouse, a CRM in the cloud, google analytics, and other 3rd-party data sources. The company realized that it needed a real-time, 360-degree omnichannel view of patient data across the different sources. In addition, the company was interested in enabling its human resources department to gather data from SuccessFactors and run its own reports on diversity and resource allocation, but the data infrastructure could not support this. The company also felt challenged in its ability to easily manage the lifecycle of documents for regulatory reporting.
The Solution
The company selected The Denodo Platform after trying out a series of different solutions in a rigorous proof-of-concept. The company leveraged the Denodo Platform to establish a logical data warehouse architecture above its diverse sources. Rather than collecting data from the various sources via ETL processes, the Denodo Platform connects to each source and presents data views to business users as a virtual, semantic layer. This enabled business users to access and report on integrated, enterprise-wide data views in real time, without having to learn IT skills or even the technical details of how to access each source. After implementing the Denodo Platform, the company began rolling it out to data scientists, who are using it to explore data, write scripts, and build recommendations to increase sales and improve treatments.
Operational Impact
Quantitative Benefit
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