Cloud-native Life Sciences analytics with CARTO & Snowflake
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With thanks to Harini Gopalakrishnan, Global Industry CTO, Lifesciences @ Snowflake, for her collaboration on this article.
In the Life Sciences sector, geospatial data is becoming increasingly vital for driving informed decision-making. As the volume and complexity of data needed continues to grow, traditional systems often fall short in handling and analyzing geospatial data effectively.
This is why cloud-native solutions like CARTO are so important.
By offering a fully cloud-native connection to Snowflake, CARTO offers users unparalleled scalability and integration for their spatial analysis. This enables Life Sciences organizations to process vast amounts of geospatial data seamlessly, uncovering patterns and insights that are crucial for optimizing operations and improving outcomes.
Key benefits of this approach include:
- Streamlined Deployment and Maintenance: With one-click installation through the Snowflake Marketplace, CARTO can be deployed as a Native App in Snowflake! This can save you valuable time and resources in deployment and ongoing maintenance. Users can be confident they are always using the latest version and patches of CARTO, complete with all the newest features.
- Enhanced Performance: By residing within the Snowflake environment, CARTO's performance is optimized, as data processing occurs in the same place as the data source.
- Heightened Security: With data never leaving Snowflake's secure environment, organizations can work with larger datasets and complex analytics operations in a safe and controlled manner.
Learn more about leveraging CARTO inside Snowflake here.
Geospatial analytics offers transformative benefits for Life Sciences organizations by enabling detailed spatial analysis and visualization. Some key applications include
- Supply Chain Optimization: pharmaceutical companies can use geospatial analytics to optimize drug distribution. By analyzing real-time data on traffic, construction, and road closures, companies can identify the most efficient routes for drug delivery and adapt to external constraints. Learn more leveraging Location Intelligence for supply chain optimization here.
- Enhancing Clinical Trials Operations: spatial analysis can be used to identify patient clusters, perform targeted geomarketing and recruitment and optimize trial locations..
- Targeted recruitment: by analyzing patient demographics and clustering data around healthcare facilities, organizations can target healthcare professionals (HCPs) more effectively. This can enable sales teams to focus on areas with high concentrations of potential patients, providing a greater return on investment.
Learn more about how you can leverage spatial analysis for life sciences in this blog by Snowflake.
Let’s explore an example of leveraging CARTO's geospatial capabilities to score potential locations for clinical trials. A significant challenge in clinical trials is ensuring that patients do not have to travel long distances to reach trial sites; this inconvenience can deter participation, increase costs, and prolong the recruitment process. We have therefore scored potential locations for clinical trials both by their proximity to healthcare facilities, as well as the demographic characteristics of each area.
The ability to pinpoint trial sites based on real-world data ensures that the entire operation is more efficient and patient-centered, increasing the return on investment of the trial. Check out the results of this below (or open in full-screen here).
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By leveraging cloud-native technology, Life Sciences organizations can handle and analyze large volumes of geospatial data with unprecedented scalability. This enables efficiencies in decision-making across areas such as site selection, patient recruitment, and overall decision-making. Embracing these advanced geospatial capabilities will empower organizations to unlock new insights and drive success in their critical missions.
Ready to get started? Schedule a demo with one of our experts to learn how!
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